{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Stata\log_tables.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}14 Jul 2018, 19:25:21
{txt}
{com}. 
. set more off
{txt}
{com}. set scheme s1manual
{txt}
{com}. 
. 
. /* summary statistics */
. sum(civicnrt1 ethnicnrt1 smlmegip highdemoc smlmegiphighdemoc smlmegiplowdemoc lrgmegiphighdemoc lrgmegiplowdemoc unrest1 majpow1 lnCapRatio alliance highdemoc2 demodyad2 tradedep) if Contig==1 & year>=1950 & year<=2007

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}civicnrt1 {c |}{res}     46,362    .0298305    .1701212          0          1
{txt}{space 2}ethnicnrt1 {c |}{res}     46,362     .024395    .1542737          0          1
{txt}{space 4}smlmegip {c |}{res}     42,782    .2844421    .4511536          0          1
{txt}{space 3}highdemoc {c |}{res}     42,001    .4069427    .4912699          0          1
{txt}smlmegiphi~c {c |}{res}     41,083    .0572743    .2323688          0          1
{txt}{hline 13}{c +}{hline 57}
smlmegiplo~c {c |}{res}     41,083    .2160991    .4115877          0          1
{txt}lrgmegiphi~c {c |}{res}     41,083    .3510698    .4773105          0          1
{txt}lrgmegiplo~c {c |}{res}     41,083    .3755568    .4842722          0          1
{txt}{space 5}unrest1 {c |}{res}     45,551    1.259906    3.626431          0         85
{txt}{space 5}majpow1 {c |}{res}     46,452    .0824938    .2751185          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}lnCapRatio {c |}{res}     46,402   -1.936979    1.619076  -9.689799          0
{txt}{space 4}alliance {c |}{res}     46,452    .4600017    .4984029          0          1
{txt}{space 2}highdemoc2 {c |}{res}     42,001    .4069427    .4912699          0          1
{txt}{space 3}demodyad2 {c |}{res}     38,818    .2580246    .4375533          0          1
{txt}{space 4}tradedep {c |}{res}     42,760    .2491212    1.167813          0   49.79074
{txt}
{com}. 
. 
. /* main civic-nationalist models */
. probit civicnrt1 smlmegip highdemoc, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5885.9139}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -5800.87}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5799.7376}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5799.7374}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    41,030
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      7.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0198
{txt}Log pseudolikelihood = {res}-5799.7374{txt}{col 49}Pseudo R2{col 67}= {res}    0.0146

{txt}{ralign 78:(Std. Err. adjusted for {res:1,069} clusters in dyadid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2} .3366276{col 26}{space 2} .1467369{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0490286{col 67}{space 3} .6242266
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2} .0173863{col 26}{space 2} .1475662{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.2718381{col 67}{space 3} .3066108
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.965383{col 26}{space 2} .1098456{col 37}{space 1}  -17.89{col 46}{space 3}0.000{col 54}{space 4}-2.180677{col 67}{space 3} -1.75009
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using model1-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"model1-x.doc"'"':model1-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "model1-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    41,030{col 27}-5885.914{col 38}-5799.737{col 49}     3{col 58} 11605.47{col 69} 11631.34
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 smlmegip highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{txt}note: 1.highdemoc omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-795.99642}  
Iteration 2:{space 3}log pseudolikelihood = {res:-736.55836}  
Iteration 3:{space 3}log pseudolikelihood = {res: -666.3194}  
Iteration 4:{space 3}log pseudolikelihood = {res:-663.62883}  
Iteration 5:{space 3}log pseudolikelihood = {res:-663.49905}  
Iteration 6:{space 3}log pseudolikelihood = {res:-663.49865}  
Iteration 7:{space 3}log pseudolikelihood = {res:-663.49865}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1981.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-663.49865{txt}{col 49}Pseudo R2{col 67}= {res}    0.8641

{txt}{ralign 86:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           civicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}smlmegip {c |}{col 22}{res}{space 2} .1167828{col 34}{space 2} .0973721{col 45}{space 1}    1.20{col 54}{space 3}0.230{col 62}{space 4}-.0740631{col 75}{space 3} .3076287
{txt}{space 11}highdemoc {c |}{col 22}{res}{space 2} .0938852{col 34}{space 2} .1333349{col 45}{space 1}    0.70{col 54}{space 3}0.481{col 62}{space 4}-.1674464{col 75}{space 3} .3552167
{txt}{space 13}unrest1 {c |}{col 22}{res}{space 2} .0072657{col 34}{space 2} .0070133{col 45}{space 1}    1.04{col 54}{space 3}0.300{col 62}{space 4}  -.00648{col 75}{space 3} .0210115
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2}  .135375{col 34}{space 2} .1797333{col 45}{space 1}    0.75{col 54}{space 3}0.451{col 62}{space 4}-.2168959{col 75}{space 3} .4876458
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1003412{col 34}{space 2} .0413717{col 45}{space 1}    2.43{col 54}{space 3}0.015{col 62}{space 4} .0192543{col 75}{space 3} .1814282
{txt}{space 12}alliance {c |}{col 22}{res}{space 2}  .094897{col 34}{space 2}  .089792{col 45}{space 1}    1.06{col 54}{space 3}0.291{col 62}{space 4}-.0810922{col 75}{space 3} .2708862
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0644375{col 34}{space 2} .1367052{col 45}{space 1}    0.47{col 54}{space 3}0.637{col 62}{space 4}-.2034998{col 75}{space 3} .3323747
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.5323956{col 34}{space 2} .2245553{col 45}{space 1}   -2.37{col 54}{space 3}0.018{col 62}{space 4}-.9725158{col 75}{space 3}-.0922753
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2} .0610383{col 34}{space 2} .0235155{col 45}{space 1}    2.60{col 54}{space 3}0.009{col 62}{space 4} .0149488{col 75}{space 3} .1071278
{txt}{space 9}NonCNRyrst1 {c |}{col 22}{res}{space 2}-.3194539{col 34}{space 2} .0320666{col 45}{space 1}   -9.96{col 54}{space 3}0.000{col 62}{space 4}-.3823032{col 75}{space 3}-.2566045
{txt}{space 8}NonCNRyrs2t1 {c |}{col 22}{res}{space 2} .0131691{col 34}{space 2} .0020807{col 45}{space 1}    6.33{col 54}{space 3}0.000{col 62}{space 4}  .009091{col 75}{space 3} .0172473
{txt}{space 8}NonCNRyrs3t1 {c |}{col 22}{res}{space 2}-.0001578{col 34}{space 2} .0000348{col 45}{space 1}   -4.54{col 54}{space 3}0.000{col 62}{space 4} -.000226{col 75}{space 3}-.0000896
{txt}{space 12}CNRyrst1 {c |}{col 22}{res}{space 2} .5441408{col 34}{space 2} .0394974{col 45}{space 1}   13.78{col 54}{space 3}0.000{col 62}{space 4} .4667274{col 75}{space 3} .6215543
{txt}{space 11}CNRyrs2t1 {c |}{col 22}{res}{space 2}-.0246563{col 34}{space 2} .0030839{col 45}{space 1}   -8.00{col 54}{space 3}0.000{col 62}{space 4}-.0307006{col 75}{space 3}-.0186119
{txt}{space 11}CNRyrs3t1 {c |}{col 22}{res}{space 2} .0003112{col 34}{space 2} .0000567{col 45}{space 1}    5.49{col 54}{space 3}0.000{col 62}{space 4}    .0002{col 75}{space 3} .0004224
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.061137{col 34}{space 2} .1443021{col 45}{space 1}   -7.35{col 54}{space 3}0.000{col 62}{space 4}-1.343964{col 75}{space 3}-.7783097
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1302 failures and 21 successes completely determined.{p_end}

{com}. outreg2 using model1-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"model1-x.doc"'"':model1-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "model1-x.txt""':seeout}

{com}. lincom 1.highdemoc+1.highdemoc2+1.highdemoc#1.highdemoc2

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1o.highdemoc + [civicnrt1]1.highdemoc2 + [civicnrt1]1.highdemoc#1.highdemoc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.4679581{col 26}{space 2} .1855674{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-.8316636{col 67}{space 3}-.1042526
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}-663.4986{col 49}    16{col 58} 1358.997{col 69}  1494.39
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip##i.highdemoc, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5885.9139}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5742.3859}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5733.5487}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -5733.53}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -5733.53}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    41,030
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     11.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0083
{txt}Log pseudolikelihood = {res}  -5733.53{txt}{col 49}Pseudo R2{col 67}= {res}    0.0259

{txt}{ralign 84:(Std. Err. adjusted for {res:1,069} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}         civicnrt1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.smlmegip {c |}{col 20}{res}{space 2} .1326148{col 32}{space 2} .1456818{col 43}{space 1}    0.91{col 52}{space 3}0.363{col 60}{space 4}-.1529162{col 73}{space 3} .4181458
{txt}{space 7}1.highdemoc {c |}{col 20}{res}{space 2} -.187104{col 32}{space 2} .1326051{col 43}{space 1}   -1.41{col 52}{space 3}0.158{col 60}{space 4}-.4470053{col 73}{space 3} .0727973
{txt}{space 18} {c |}
smlmegip#highdemoc {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} .6203753{col 32}{space 2} .2737816{col 43}{space 1}    2.27{col 52}{space 3}0.023{col 60}{space 4} .0837732{col 73}{space 3} 1.156977
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.875299{col 32}{space 2} .0961387{col 43}{space 1}  -19.51{col 52}{space 3}0.000{col 60}{space 4}-2.063727{col 73}{space 3} -1.68687
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using model1-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"model1-x.doc"'"':model1-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "model1-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip + [civicnrt1]1.highdemoc + [civicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .565886{col 26}{space 2} .2534025{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0692262{col 67}{space 3} 1.062546
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    41,030{col 27}-5885.914{col 38} -5733.53{col 49}     4{col 58} 11475.06{col 69} 11509.55
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip##i.highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-794.92428}  
Iteration 2:{space 3}log pseudolikelihood = {res:-732.06632}  
Iteration 3:{space 3}log pseudolikelihood = {res:-663.41764}  
Iteration 4:{space 3}log pseudolikelihood = {res:-660.65943}  
Iteration 5:{space 3}log pseudolikelihood = {res:-660.52318}  
Iteration 6:{space 3}log pseudolikelihood = {res:-660.52277}  
Iteration 7:{space 3}log pseudolikelihood = {res:-660.52277}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   1982.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-660.52277{txt}{col 49}Pseudo R2{col 67}= {res}    0.8647

{txt}{ralign 86:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           civicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.smlmegip {c |}{col 22}{res}{space 2} .0215505{col 34}{space 2} .1076076{col 45}{space 1}    0.20{col 54}{space 3}0.841{col 62}{space 4}-.1893564{col 75}{space 3} .2324575
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}-.0601124{col 34}{space 2} .1578793{col 45}{space 1}   -0.38{col 54}{space 3}0.703{col 62}{space 4}-.3695502{col 75}{space 3} .2493254
{txt}{space 20} {c |}
{space 2}smlmegip#highdemoc {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2} .4561446{col 34}{space 2}  .206608{col 45}{space 1}    2.21{col 54}{space 3}0.027{col 62}{space 4} .0512005{col 75}{space 3} .8610888
{txt}{space 20} {c |}
{space 13}unrest1 {c |}{col 22}{res}{space 2}  .002265{col 34}{space 2} .0079695{col 45}{space 1}    0.28{col 54}{space 3}0.776{col 62}{space 4} -.013355{col 75}{space 3}  .017885
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} .1484077{col 34}{space 2} .1799964{col 45}{space 1}    0.82{col 54}{space 3}0.410{col 62}{space 4}-.2043788{col 75}{space 3} .5011942
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1007282{col 34}{space 2} .0430348{col 45}{space 1}    2.34{col 54}{space 3}0.019{col 62}{space 4} .0163814{col 75}{space 3} .1850749
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .0871493{col 34}{space 2} .0908383{col 45}{space 1}    0.96{col 54}{space 3}0.337{col 62}{space 4}-.0908906{col 75}{space 3} .2651892
{txt}{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0502196{col 34}{space 2} .1355085{col 45}{space 1}    0.37{col 54}{space 3}0.711{col 62}{space 4}-.2153721{col 75}{space 3} .3158114
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.4327521{col 34}{space 2} .2316263{col 45}{space 1}   -1.87{col 54}{space 3}0.062{col 62}{space 4}-.8867313{col 75}{space 3} .0212271
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}  .060609{col 34}{space 2} .0225428{col 45}{space 1}    2.69{col 54}{space 3}0.007{col 62}{space 4} .0164259{col 75}{space 3} .1047921
{txt}{space 9}NonCNRyrst1 {c |}{col 22}{res}{space 2}-.3194074{col 34}{space 2} .0323339{col 45}{space 1}   -9.88{col 54}{space 3}0.000{col 62}{space 4}-.3827806{col 75}{space 3}-.2560342
{txt}{space 8}NonCNRyrs2t1 {c |}{col 22}{res}{space 2} .0131616{col 34}{space 2} .0020979{col 45}{space 1}    6.27{col 54}{space 3}0.000{col 62}{space 4} .0090498{col 75}{space 3} .0172733
{txt}{space 8}NonCNRyrs3t1 {c |}{col 22}{res}{space 2}-.0001578{col 34}{space 2} .0000351{col 45}{space 1}   -4.50{col 54}{space 3}0.000{col 62}{space 4}-.0002265{col 75}{space 3} -.000089
{txt}{space 12}CNRyrst1 {c |}{col 22}{res}{space 2} .5455503{col 34}{space 2} .0399733{col 45}{space 1}   13.65{col 54}{space 3}0.000{col 62}{space 4} .4672041{col 75}{space 3} .6238966
{txt}{space 11}CNRyrs2t1 {c |}{col 22}{res}{space 2}-.0247239{col 34}{space 2} .0031303{col 45}{space 1}   -7.90{col 54}{space 3}0.000{col 62}{space 4} -.030859{col 75}{space 3}-.0185887
{txt}{space 11}CNRyrs3t1 {c |}{col 22}{res}{space 2} .0003119{col 34}{space 2} .0000575{col 45}{space 1}    5.43{col 54}{space 3}0.000{col 62}{space 4} .0001993{col 75}{space 3} .0004245
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.007781{col 34}{space 2}  .146503{col 45}{space 1}   -6.88{col 54}{space 3}0.000{col 62}{space 4}-1.294921{col 75}{space 3}-.7206401
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1306 failures and 22 successes completely determined.{p_end}

{com}. outreg2 using model1-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"model1-x.doc"'"':model1-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "model1-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip + [civicnrt1]1.highdemoc + [civicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4175828{col 26}{space 2} .1751056{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4}  .074382{col 67}{space 3} .7607835
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom 1.highdemoc+1.highdemoc2+1.highdemoc#1.highdemoc2

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.highdemoc + [civicnrt1]1.highdemoc2 + [civicnrt1]1.highdemoc#1.highdemoc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.4426448{col 26}{space 2} .1830772{col 37}{space 1}   -2.42{col 46}{space 3}0.016{col 54}{space 4}-.8014695{col 67}{space 3}-.0838202
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}-660.5228{col 49}    17{col 58} 1355.046{col 69}   1498.9
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. /* main ethno-nationalist models */
. probit ethnicnrt1 smlmegip highdemoc, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2408.1281}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2343.0912}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2342.0685}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2342.0683}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2342.0683}  (backed up)
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,171
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      5.63
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0599
{txt}Log pseudolikelihood = {res}-2342.0683{txt}{col 49}Pseudo R2{col 67}= {res}    0.0274

{txt}{ralign 78:(Std. Err. adjusted for {res:289} clusters in dyadid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2}-.1744543{col 26}{space 2} .2128325{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.5915984{col 67}{space 3} .2426898
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2}-.5484026{col 26}{space 2} .2394755{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}-1.017766{col 67}{space 3}-.0790392
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.272509{col 26}{space 2} .1425413{col 37}{space 1}   -8.93{col 46}{space 3}0.000{col 54}{space 4}-1.551885{col 67}{space 3}-.9931328
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using model2-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"model2-x.doc"'"':model2-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "model2-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,171{col 27}-2408.128{col 38}-2342.068{col 49}     3{col 58} 4690.137{col 69} 4711.508
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{txt}note: 1.highdemoc omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1849.9727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-371.13402}  
Iteration 2:{space 3}log pseudolikelihood = {res:-332.40238}  
Iteration 3:{space 3}log pseudolikelihood = {res:-317.99897}  
Iteration 4:{space 3}log pseudolikelihood = {res:-317.12314}  
Iteration 5:{space 3}log pseudolikelihood = {res:-317.11563}  
Iteration 6:{space 3}log pseudolikelihood = {res:-317.11563}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,771
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1947.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-317.11563{txt}{col 49}Pseudo R2{col 67}= {res}    0.8286

{txt}{ralign 86:(Std. Err. adjusted for {res:269} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          ethnicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}smlmegip {c |}{col 22}{res}{space 2}-.0326098{col 34}{space 2} .1237758{col 45}{space 1}   -0.26{col 54}{space 3}0.792{col 62}{space 4}-.2752059{col 75}{space 3} .2099863
{txt}{space 11}highdemoc {c |}{col 22}{res}{space 2} .0512912{col 34}{space 2} .1961048{col 45}{space 1}    0.26{col 54}{space 3}0.794{col 62}{space 4}-.3330671{col 75}{space 3} .4356495
{txt}{space 13}unrest1 {c |}{col 22}{res}{space 2}-.0207541{col 34}{space 2} .0186208{col 45}{space 1}   -1.11{col 54}{space 3}0.265{col 62}{space 4}-.0572502{col 75}{space 3} .0157421
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} -.019538{col 34}{space 2} .2213822{col 45}{space 1}   -0.09{col 54}{space 3}0.930{col 62}{space 4}-.4534391{col 75}{space 3} .4143631
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1096234{col 34}{space 2} .0495452{col 45}{space 1}    2.21{col 54}{space 3}0.027{col 62}{space 4} .0125166{col 75}{space 3} .2067302
{txt}{space 12}alliance {c |}{col 22}{res}{space 2}  .169128{col 34}{space 2} .1231675{col 45}{space 1}    1.37{col 54}{space 3}0.170{col 62}{space 4}-.0722758{col 75}{space 3} .4105318
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0517878{col 34}{space 2} .1841477{col 45}{space 1}    0.28{col 54}{space 3}0.779{col 62}{space 4} -.309135{col 75}{space 3} .4127107
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.3959142{col 34}{space 2} .2432312{col 45}{space 1}   -1.63{col 54}{space 3}0.104{col 62}{space 4}-.8726385{col 75}{space 3} .0808102
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2} -.294389{col 34}{space 2} .1520592{col 45}{space 1}   -1.94{col 54}{space 3}0.053{col 62}{space 4}-.5924196{col 75}{space 3} .0036416
{txt}{space 9}NonENRyrst1 {c |}{col 22}{res}{space 2}-.3293669{col 34}{space 2} .0547366{col 45}{space 1}   -6.02{col 54}{space 3}0.000{col 62}{space 4}-.4366487{col 75}{space 3}-.2220851
{txt}{space 8}NonENRyrs2t1 {c |}{col 22}{res}{space 2} .0139008{col 34}{space 2} .0035179{col 45}{space 1}    3.95{col 54}{space 3}0.000{col 62}{space 4} .0070058{col 75}{space 3} .0207959
{txt}{space 8}NonENRyrs3t1 {c |}{col 22}{res}{space 2}-.0001675{col 34}{space 2} .0000581{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-.0002814{col 75}{space 3}-.0000536
{txt}{space 12}ENRyrst1 {c |}{col 22}{res}{space 2} .4340386{col 34}{space 2}  .060917{col 45}{space 1}    7.13{col 54}{space 3}0.000{col 62}{space 4} .3146435{col 75}{space 3} .5534338
{txt}{space 11}ENRyrs2t1 {c |}{col 22}{res}{space 2}-.0186571{col 34}{space 2}  .004252{col 45}{space 1}   -4.39{col 54}{space 3}0.000{col 62}{space 4}-.0269908{col 75}{space 3}-.0103234
{txt}{space 11}ENRyrs3t1 {c |}{col 22}{res}{space 2} .0002303{col 34}{space 2} .0000702{col 45}{space 1}    3.28{col 54}{space 3}0.001{col 62}{space 4} .0000927{col 75}{space 3} .0003679
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.6988334{col 34}{space 2} .1795999{col 45}{space 1}   -3.89{col 54}{space 3}0.000{col 62}{space 4}-1.050843{col 75}{space 3}-.3468242
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 180 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using model2-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"model2-x.doc"'"':model2-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "model2-x.txt""':seeout}

{com}. lincom 1.highdemoc+1.highdemoc2+1.highdemoc#1.highdemoc2

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1o.highdemoc + [ethnicnrt1]1.highdemoc2 + [ethnicnrt1]1.highdemoc#1.highdemoc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.3441263{col 26}{space 2} .2591434{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4} -.852038{col 67}{space 3} .1637854
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,771{col 27}-1849.973{col 38}-317.1156{col 49}    16{col 58} 666.2313{col 69} 777.5617
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.highdemoc, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2408.1281}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2339.0941}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2334.4084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2334.2621}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2334.2619}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2334.2619}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,171
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     16.38
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0009
{txt}Log pseudolikelihood = {res}-2334.2619{txt}{col 49}Pseudo R2{col 67}= {res}    0.0307

{txt}{ralign 84:(Std. Err. adjusted for {res:289} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        ethnicnrt1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.smlmegip {c |}{col 20}{res}{space 2}-.1202431{col 32}{space 2} .2298221{col 43}{space 1}   -0.52{col 52}{space 3}0.601{col 60}{space 4}-.5706862{col 73}{space 3}    .3302
{txt}{space 7}1.highdemoc {c |}{col 20}{res}{space 2}-.4746702{col 32}{space 2} .2611335{col 43}{space 1}   -1.82{col 52}{space 3}0.069{col 60}{space 4}-.9864825{col 73}{space 3} .0371421
{txt}{space 18} {c |}
smlmegip#highdemoc {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.7801255{col 32}{space 2} .4007945{col 43}{space 1}   -1.95{col 52}{space 3}0.052{col 60}{space 4}-1.565668{col 73}{space 3} .0054173
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.289599{col 32}{space 2} .1484278{col 43}{space 1}   -8.69{col 52}{space 3}0.000{col 60}{space 4}-1.580512{col 73}{space 3}-.9986858
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using model2-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"model2-x.doc"'"':model2-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "model2-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.highdemoc + [ethnicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-1.375039{col 26}{space 2}  .353159{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-2.067218{col 67}{space 3}-.6828598
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,171{col 27}-2408.128{col 38}-2334.262{col 49}     4{col 58} 4676.524{col 69} 4705.019
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1849.9727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-370.63046}  
Iteration 2:{space 3}log pseudolikelihood = {res:-331.60512}  
Iteration 3:{space 3}log pseudolikelihood = {res:-316.64267}  
Iteration 4:{space 3}log pseudolikelihood = {res:-315.75424}  
Iteration 5:{space 3}log pseudolikelihood = {res:-315.74679}  
Iteration 6:{space 3}log pseudolikelihood = {res:-315.74679}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,771
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2187.61
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-315.74679{txt}{col 49}Pseudo R2{col 67}= {res}    0.8293

{txt}{ralign 86:(Std. Err. adjusted for {res:269} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          ethnicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.smlmegip {c |}{col 22}{res}{space 2}  .028956{col 34}{space 2} .1334226{col 45}{space 1}    0.22{col 54}{space 3}0.828{col 62}{space 4}-.2325475{col 75}{space 3} .2904596
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2} .1555473{col 34}{space 2} .2114613{col 45}{space 1}    0.74{col 54}{space 3}0.462{col 62}{space 4}-.2589093{col 75}{space 3} .5700039
{txt}{space 20} {c |}
{space 2}smlmegip#highdemoc {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.8322339{col 34}{space 2} .3149245{col 45}{space 1}   -2.64{col 54}{space 3}0.008{col 62}{space 4}-1.449475{col 75}{space 3}-.2149933
{txt}{space 20} {c |}
{space 13}unrest1 {c |}{col 22}{res}{space 2}-.0175504{col 34}{space 2} .0208166{col 45}{space 1}   -0.84{col 54}{space 3}0.399{col 62}{space 4}-.0583503{col 75}{space 3} .0232494
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2}-.0338852{col 34}{space 2} .2245965{col 45}{space 1}   -0.15{col 54}{space 3}0.880{col 62}{space 4}-.4740863{col 75}{space 3} .4063159
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1016519{col 34}{space 2} .0485024{col 45}{space 1}    2.10{col 54}{space 3}0.036{col 62}{space 4} .0065889{col 75}{space 3} .1967149
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .1523896{col 34}{space 2} .1236484{col 45}{space 1}    1.23{col 54}{space 3}0.218{col 62}{space 4}-.0899569{col 75}{space 3} .3947361
{txt}{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0563902{col 34}{space 2} .1856193{col 45}{space 1}    0.30{col 54}{space 3}0.761{col 62}{space 4}-.3074169{col 75}{space 3} .4201973
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.4580067{col 34}{space 2} .2474655{col 45}{space 1}   -1.85{col 54}{space 3}0.064{col 62}{space 4}-.9430302{col 75}{space 3} .0270168
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}-.2931053{col 34}{space 2} .1495744{col 45}{space 1}   -1.96{col 54}{space 3}0.050{col 62}{space 4}-.5862658{col 75}{space 3} .0000552
{txt}{space 9}NonENRyrst1 {c |}{col 22}{res}{space 2}-.3280496{col 34}{space 2} .0546651{col 45}{space 1}   -6.00{col 54}{space 3}0.000{col 62}{space 4}-.4351912{col 75}{space 3} -.220908
{txt}{space 8}NonENRyrs2t1 {c |}{col 22}{res}{space 2} .0138658{col 34}{space 2} .0035343{col 45}{space 1}    3.92{col 54}{space 3}0.000{col 62}{space 4} .0069387{col 75}{space 3} .0207929
{txt}{space 8}NonENRyrs3t1 {c |}{col 22}{res}{space 2}-.0001673{col 34}{space 2} .0000585{col 45}{space 1}   -2.86{col 54}{space 3}0.004{col 62}{space 4} -.000282{col 75}{space 3}-.0000526
{txt}{space 12}ENRyrst1 {c |}{col 22}{res}{space 2}  .434381{col 34}{space 2} .0606026{col 45}{space 1}    7.17{col 54}{space 3}0.000{col 62}{space 4} .3156021{col 75}{space 3} .5531599
{txt}{space 11}ENRyrs2t1 {c |}{col 22}{res}{space 2}-.0186582{col 34}{space 2} .0042124{col 45}{space 1}   -4.43{col 54}{space 3}0.000{col 62}{space 4}-.0269143{col 75}{space 3}-.0104021
{txt}{space 11}ENRyrs3t1 {c |}{col 22}{res}{space 2} .0002301{col 34}{space 2} .0000694{col 45}{space 1}    3.32{col 54}{space 3}0.001{col 62}{space 4} .0000941{col 75}{space 3} .0003661
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7286591{col 34}{space 2} .1782363{col 45}{space 1}   -4.09{col 54}{space 3}0.000{col 62}{space 4}-1.077996{col 75}{space 3}-.3793223
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 183 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using model2-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"model2-x.doc"'"':model2-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "model2-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.highdemoc + [ethnicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.6477305{col 26}{space 2} .2822979{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}-1.201024{col 67}{space 3}-.0944368
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom 1.highdemoc+1.highdemoc2+1.highdemoc#1.highdemoc2

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.highdemoc + [ethnicnrt1]1.highdemoc2 + [ethnicnrt1]1.highdemoc#1.highdemoc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.2460693{col 26}{space 2} .2283684{col 37}{space 1}   -1.08{col 46}{space 3}0.281{col 54}{space 4}-.6936632{col 67}{space 3} .2015247
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,771{col 27}-1849.973{col 38}-315.7468{col 49}    17{col 58} 665.4936{col 69} 783.7822
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. /* first alternative measure of small MEGIP, high democracy */
. probit civicnrt1 smlmegip_rob1 highdemoc_rob1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5885.9139}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5794.0424}  
Iteration 2:{space 3}log pseudolikelihood = {res: -5792.198}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5792.1973}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5792.1973}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    41,030
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      7.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0190
{txt}Log pseudolikelihood = {res}-5792.1973{txt}{col 49}Pseudo R2{col 67}= {res}    0.0159

{txt}{ralign 80:(Std. Err. adjusted for {res:1,069} clusters in dyadid)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     civicnrt1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}smlmegip_rob1 {c |}{col 16}{res}{space 2} .3758722{col 28}{space 2} .1532651{col 39}{space 1}    2.45{col 48}{space 3}0.014{col 56}{space 4} .0754781{col 69}{space 3} .6762662
{txt}highdemoc_rob1 {c |}{col 16}{res}{space 2} .0376915{col 28}{space 2} .1519292{col 39}{space 1}    0.25{col 48}{space 3}0.804{col 56}{space 4}-.2600843{col 69}{space 3} .3354673
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.957733{col 28}{space 2}   .09827{col 39}{space 1}  -19.92{col 48}{space 3}0.000{col 56}{space 4}-2.150339{col 69}{space 3}-1.765127
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela1-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela1-x.doc"'"':modela1-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela1-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    41,030{col 27}-5885.914{col 38}-5792.197{col 49}     3{col 58} 11590.39{col 69} 11616.26
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 smlmegip_rob1 highdemoc_rob1 unrest1 majpow1 lnCapRatio alliance i.highdemoc_rob1##i.highdemoc2_rob1 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{txt}note: 1.highdemoc_rob1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-796.64448}  
Iteration 2:{space 3}log pseudolikelihood = {res:-738.48505}  
Iteration 3:{space 3}log pseudolikelihood = {res:-667.76627}  
Iteration 4:{space 3}log pseudolikelihood = {res: -665.2142}  
Iteration 5:{space 3}log pseudolikelihood = {res:-665.10067}  
Iteration 6:{space 3}log pseudolikelihood = {res:-665.10038}  
Iteration 7:{space 3}log pseudolikelihood = {res:-665.10038}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1904.80
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-665.10038{txt}{col 49}Pseudo R2{col 67}= {res}    0.8637

{txt}{ralign 96:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                     civicnrt1{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}smlmegip_rob1 {c |}{col 32}{res}{space 2} .1403313{col 44}{space 2} .1022625{col 55}{space 1}    1.37{col 64}{space 3}0.170{col 72}{space 4}-.0600996{col 85}{space 3} .3407622
{txt}{space 16}highdemoc_rob1 {c |}{col 32}{res}{space 2} .1354659{col 44}{space 2} .1345928{col 55}{space 1}    1.01{col 64}{space 3}0.314{col 72}{space 4}-.1283312{col 85}{space 3} .3992629
{txt}{space 23}unrest1 {c |}{col 32}{res}{space 2} .0069072{col 44}{space 2} .0070206{col 55}{space 1}    0.98{col 64}{space 3}0.325{col 72}{space 4} -.006853{col 85}{space 3} .0206674
{txt}{space 23}majpow1 {c |}{col 32}{res}{space 2}  .137373{col 44}{space 2} .1797035{col 55}{space 1}    0.76{col 64}{space 3}0.445{col 72}{space 4}-.2148394{col 85}{space 3} .4895854
{txt}{space 20}lnCapRatio {c |}{col 32}{res}{space 2} .1105428{col 44}{space 2} .0380055{col 55}{space 1}    2.91{col 64}{space 3}0.004{col 72}{space 4} .0360534{col 85}{space 3} .1850323
{txt}{space 22}alliance {c |}{col 32}{res}{space 2} .1000909{col 44}{space 2} .0909806{col 55}{space 1}    1.10{col 64}{space 3}0.271{col 72}{space 4}-.0782278{col 85}{space 3} .2784096
{txt}{space 14}1.highdemoc_rob1 {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (omitted)
{space 13}1.highdemoc2_rob1 {c |}{col 32}{res}{space 2} .1021944{col 44}{space 2} .1355547{col 55}{space 1}    0.75{col 64}{space 3}0.451{col 72}{space 4}-.1634879{col 85}{space 3} .3678766
{txt}{space 30} {c |}
highdemoc_rob1#highdemoc2_rob1 {c |}
{space 26}1 1  {c |}{col 32}{res}{space 2}-.5682753{col 44}{space 2} .2336784{col 55}{space 1}   -2.43{col 64}{space 3}0.015{col 72}{space 4}-1.026277{col 85}{space 3} -.110274
{txt}{space 30} {c |}
{space 22}tradedep {c |}{col 32}{res}{space 2}  .058974{col 44}{space 2} .0241508{col 55}{space 1}    2.44{col 64}{space 3}0.015{col 72}{space 4} .0116394{col 85}{space 3} .1063087
{txt}{space 19}NonCNRyrst1 {c |}{col 32}{res}{space 2}-.3191344{col 44}{space 2}  .031904{col 55}{space 1}  -10.00{col 64}{space 3}0.000{col 72}{space 4}-.3816651{col 85}{space 3}-.2566036
{txt}{space 18}NonCNRyrs2t1 {c |}{col 32}{res}{space 2}  .013147{col 44}{space 2} .0020719{col 55}{space 1}    6.35{col 64}{space 3}0.000{col 72}{space 4} .0090862{col 85}{space 3} .0172079
{txt}{space 18}NonCNRyrs3t1 {c |}{col 32}{res}{space 2}-.0001575{col 44}{space 2} .0000346{col 55}{space 1}   -4.55{col 64}{space 3}0.000{col 72}{space 4}-.0002254{col 85}{space 3}-.0000896
{txt}{space 22}CNRyrst1 {c |}{col 32}{res}{space 2} .5482415{col 44}{space 2} .0401668{col 55}{space 1}   13.65{col 64}{space 3}0.000{col 72}{space 4} .4695161{col 85}{space 3}  .626967
{txt}{space 21}CNRyrs2t1 {c |}{col 32}{res}{space 2}-.0250915{col 44}{space 2} .0031521{col 55}{space 1}   -7.96{col 64}{space 3}0.000{col 72}{space 4}-.0312695{col 85}{space 3}-.0189135
{txt}{space 21}CNRyrs3t1 {c |}{col 32}{res}{space 2} .0003186{col 44}{space 2} .0000578{col 55}{space 1}    5.51{col 64}{space 3}0.000{col 72}{space 4} .0002052{col 85}{space 3} .0004319
{txt}{space 25}_cons {c |}{col 32}{res}{space 2}-1.069816{col 44}{space 2} .1346942{col 55}{space 1}   -7.94{col 64}{space 3}0.000{col 72}{space 4}-1.333812{col 85}{space 3}-.8058204
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1250 failures and 22 successes completely determined.{p_end}

{com}. outreg2 using modela1-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela1-x.doc"'"':modela1-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela1-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}-665.1004{col 49}    16{col 58} 1362.201{col 69} 1497.593
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip_rob1##i.highdemoc_rob1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5885.9139}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5707.4759}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5688.4676}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5688.4051}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5688.4051}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    41,030
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     14.10
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0028
{txt}Log pseudolikelihood = {res}-5688.4051{txt}{col 49}Pseudo R2{col 67}= {res}    0.0336

{txt}{ralign 94:(Std. Err. adjusted for {res:1,069} clusters in dyadid)}
{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}                   civicnrt1{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}1.smlmegip_rob1 {c |}{col 30}{res}{space 2} .1324371{col 42}{space 2} .1541313{col 53}{space 1}    0.86{col 62}{space 3}0.390{col 70}{space 4}-.1696547{col 83}{space 3} .4345289
{txt}{space 12}1.highdemoc_rob1 {c |}{col 30}{res}{space 2}-.1794396{col 42}{space 2} .1390668{col 53}{space 1}   -1.29{col 62}{space 3}0.197{col 70}{space 4}-.4520056{col 83}{space 3} .0931264
{txt}{space 28} {c |}
smlmegip_rob1#highdemoc_rob1 {c |}
{space 24}1 1  {c |}{col 30}{res}{space 2} .8487494{col 42}{space 2}  .306909{col 53}{space 1}    2.77{col 62}{space 3}0.006{col 70}{space 4} .2472187{col 83}{space 3}  1.45028
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2}-1.875131{col 42}{space 2} .0847378{col 53}{space 1}  -22.13{col 62}{space 3}0.000{col 70}{space 4}-2.041214{col 83}{space 3}-1.709049
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela1-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela1-x.doc"'"':modela1-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela1-x.txt""':seeout}

{com}. lincom 1.smlmegip_rob1+1.highdemoc_rob1+1.smlmegip_rob1#1.highdemoc_rob1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip_rob1 + [civicnrt1]1.highdemoc_rob1 + [civicnrt1]1.smlmegip_rob1#1.highdemoc_rob1 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .8017469{col 26}{space 2} .2802907{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .2523872{col 67}{space 3} 1.351107
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    41,030{col 27}-5885.914{col 38}-5688.405{col 49}     4{col 58} 11384.81{col 69}  11419.3
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip_rob1##i.highdemoc_rob1 unrest1 majpow1 lnCapRatio alliance i.highdemoc_rob1##i.highdemoc2_rob1 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-794.35689}  
Iteration 2:{space 3}log pseudolikelihood = {res:-731.99426}  
Iteration 3:{space 3}log pseudolikelihood = {res:-663.13945}  
Iteration 4:{space 3}log pseudolikelihood = {res:-660.43712}  
Iteration 5:{space 3}log pseudolikelihood = {res:-660.30915}  
Iteration 6:{space 3}log pseudolikelihood = {res:-660.30883}  
Iteration 7:{space 3}log pseudolikelihood = {res:-660.30883}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   1928.46
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-660.30883{txt}{col 49}Pseudo R2{col 67}= {res}    0.8647

{txt}{ralign 96:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                     civicnrt1{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.smlmegip_rob1 {c |}{col 32}{res}{space 2} .0200488{col 44}{space 2} .1133557{col 55}{space 1}    0.18{col 64}{space 3}0.860{col 72}{space 4}-.2021244{col 85}{space 3} .2422219
{txt}{space 14}1.highdemoc_rob1 {c |}{col 32}{res}{space 2}-.0372704{col 44}{space 2} .1588188{col 55}{space 1}   -0.23{col 64}{space 3}0.814{col 72}{space 4}-.3485496{col 85}{space 3} .2740087
{txt}{space 30} {c |}
{space 2}smlmegip_rob1#highdemoc_rob1 {c |}
{space 26}1 1  {c |}{col 32}{res}{space 2} .6273686{col 44}{space 2} .2233119{col 55}{space 1}    2.81{col 64}{space 3}0.005{col 72}{space 4} .1896853{col 85}{space 3} 1.065052
{txt}{space 30} {c |}
{space 23}unrest1 {c |}{col 32}{res}{space 2}-.0010194{col 44}{space 2} .0084729{col 55}{space 1}   -0.12{col 64}{space 3}0.904{col 72}{space 4} -.017626{col 85}{space 3} .0155872
{txt}{space 23}majpow1 {c |}{col 32}{res}{space 2} .1591308{col 44}{space 2} .1796493{col 55}{space 1}    0.89{col 64}{space 3}0.376{col 72}{space 4}-.1929753{col 85}{space 3} .5112369
{txt}{space 20}lnCapRatio {c |}{col 32}{res}{space 2} .1151132{col 44}{space 2} .0402712{col 55}{space 1}    2.86{col 64}{space 3}0.004{col 72}{space 4} .0361832{col 85}{space 3} .1940433
{txt}{space 22}alliance {c |}{col 32}{res}{space 2} .0869781{col 44}{space 2} .0914401{col 55}{space 1}    0.95{col 64}{space 3}0.342{col 72}{space 4}-.0922412{col 85}{space 3} .2661975
{txt}{space 13}1.highdemoc2_rob1 {c |}{col 32}{res}{space 2} .0919511{col 44}{space 2} .1332583{col 55}{space 1}    0.69{col 64}{space 3}0.490{col 72}{space 4}-.1692303{col 85}{space 3} .3531325
{txt}{space 30} {c |}
highdemoc_rob1#highdemoc2_rob1 {c |}
{space 26}1 1  {c |}{col 32}{res}{space 2}-.4472931{col 44}{space 2} .2476148{col 55}{space 1}   -1.81{col 64}{space 3}0.071{col 72}{space 4}-.9326092{col 85}{space 3}  .038023
{txt}{space 30} {c |}
{space 22}tradedep {c |}{col 32}{res}{space 2}  .057953{col 44}{space 2} .0229678{col 55}{space 1}    2.52{col 64}{space 3}0.012{col 72}{space 4} .0129369{col 85}{space 3} .1029692
{txt}{space 19}NonCNRyrst1 {c |}{col 32}{res}{space 2}-.3201115{col 44}{space 2} .0321211{col 55}{space 1}   -9.97{col 64}{space 3}0.000{col 72}{space 4}-.3830676{col 85}{space 3}-.2571554
{txt}{space 18}NonCNRyrs2t1 {c |}{col 32}{res}{space 2} .0132215{col 44}{space 2} .0020755{col 55}{space 1}    6.37{col 64}{space 3}0.000{col 72}{space 4} .0091537{col 85}{space 3} .0172894
{txt}{space 18}NonCNRyrs3t1 {c |}{col 32}{res}{space 2}-.0001587{col 44}{space 2} .0000346{col 55}{space 1}   -4.59{col 64}{space 3}0.000{col 72}{space 4}-.0002264{col 85}{space 3}-.0000909
{txt}{space 22}CNRyrst1 {c |}{col 32}{res}{space 2} .5490312{col 44}{space 2} .0407505{col 55}{space 1}   13.47{col 64}{space 3}0.000{col 72}{space 4} .4691617{col 85}{space 3} .6289008
{txt}{space 21}CNRyrs2t1 {c |}{col 32}{res}{space 2} -.025079{col 44}{space 2} .0031914{col 55}{space 1}   -7.86{col 64}{space 3}0.000{col 72}{space 4} -.031334{col 85}{space 3} -.018824
{txt}{space 21}CNRyrs3t1 {c |}{col 32}{res}{space 2} .0003177{col 44}{space 2} .0000583{col 55}{space 1}    5.45{col 64}{space 3}0.000{col 72}{space 4} .0002034{col 85}{space 3} .0004319
{txt}{space 25}_cons {c |}{col 32}{res}{space 2}-1.009468{col 44}{space 2} .1359543{col 55}{space 1}   -7.43{col 64}{space 3}0.000{col 72}{space 4}-1.275934{col 85}{space 3}-.7430027
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1283 failures and 24 successes completely determined.{p_end}

{com}. outreg2 using modela1-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela1-x.doc"'"':modela1-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela1-x.txt""':seeout}

{com}. lincom 1.smlmegip_rob1+1.highdemoc_rob1+1.smlmegip_rob1#1.highdemoc_rob1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip_rob1 + [civicnrt1]1.highdemoc_rob1 + [civicnrt1]1.smlmegip_rob1#1.highdemoc_rob1 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .610147{col 26}{space 2} .1896902{col 37}{space 1}    3.22{col 46}{space 3}0.001{col 54}{space 4}  .238361{col 67}{space 3} .9819329
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}-660.3088{col 49}    17{col 58} 1354.618{col 69} 1498.472
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip_rob1 highdemoc_rob1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2408.1281}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2367.7781}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2367.4148}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2367.4147}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,171
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      3.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.1865
{txt}Log pseudolikelihood = {res}-2367.4147{txt}{col 49}Pseudo R2{col 67}= {res}    0.0169

{txt}{ralign 80:(Std. Err. adjusted for {res:289} clusters in dyadid)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    ethnicnrt1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}smlmegip_rob1 {c |}{col 16}{res}{space 2}-.0138295{col 28}{space 2} .2365036{col 39}{space 1}   -0.06{col 48}{space 3}0.953{col 56}{space 4}-.4773681{col 69}{space 3}  .449709
{txt}highdemoc_rob1 {c |}{col 16}{res}{space 2}-.4416801{col 28}{space 2} .2418757{col 39}{space 1}   -1.83{col 48}{space 3}0.068{col 56}{space 4}-.9157479{col 69}{space 3} .0323876
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.352052{col 28}{space 2} .1288509{col 39}{space 1}  -10.49{col 48}{space 3}0.000{col 56}{space 4}-1.604595{col 69}{space 3}-1.099508
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela2-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela2-x.doc"'"':modela2-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela2-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,171{col 27}-2408.128{col 38}-2367.415{col 49}     3{col 58} 4740.829{col 69} 4762.201
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip_rob1 highdemoc_rob1 unrest1 majpow1 lnCapRatio alliance i.highdemoc_rob1##i.highdemoc2_rob1 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{txt}note: 1.highdemoc_rob1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1849.9727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-370.93687}  
Iteration 2:{space 3}log pseudolikelihood = {res:-332.17144}  
Iteration 3:{space 3}log pseudolikelihood = {res: -318.0603}  
Iteration 4:{space 3}log pseudolikelihood = {res:-317.26007}  
Iteration 5:{space 3}log pseudolikelihood = {res:-317.25293}  
Iteration 6:{space 3}log pseudolikelihood = {res:-317.25293}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,771
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1935.17
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-317.25293{txt}{col 49}Pseudo R2{col 67}= {res}    0.8285

{txt}{ralign 96:(Std. Err. adjusted for {res:269} clusters in dyadid)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                    ethnicnrt1{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}smlmegip_rob1 {c |}{col 32}{res}{space 2} .0557093{col 44}{space 2} .1352653{col 55}{space 1}    0.41{col 64}{space 3}0.680{col 72}{space 4}-.2094058{col 85}{space 3} .3208244
{txt}{space 16}highdemoc_rob1 {c |}{col 32}{res}{space 2} .1321047{col 44}{space 2} .1994552{col 55}{space 1}    0.66{col 64}{space 3}0.508{col 72}{space 4}-.2588203{col 85}{space 3} .5230298
{txt}{space 23}unrest1 {c |}{col 32}{res}{space 2}-.0236046{col 44}{space 2} .0183868{col 55}{space 1}   -1.28{col 64}{space 3}0.199{col 72}{space 4}-.0596421{col 85}{space 3} .0124329
{txt}{space 23}majpow1 {c |}{col 32}{res}{space 2} .0154439{col 44}{space 2} .2207146{col 55}{space 1}    0.07{col 64}{space 3}0.944{col 72}{space 4}-.4171487{col 85}{space 3} .4480365
{txt}{space 20}lnCapRatio {c |}{col 32}{res}{space 2} .1130929{col 44}{space 2} .0498859{col 55}{space 1}    2.27{col 64}{space 3}0.023{col 72}{space 4} .0153184{col 85}{space 3} .2108674
{txt}{space 22}alliance {c |}{col 32}{res}{space 2} .1800924{col 44}{space 2}  .119238{col 55}{space 1}    1.51{col 64}{space 3}0.131{col 72}{space 4}-.0536099{col 85}{space 3} .4137946
{txt}{space 14}1.highdemoc_rob1 {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (omitted)
{space 13}1.highdemoc2_rob1 {c |}{col 32}{res}{space 2} .1192944{col 44}{space 2} .1878026{col 55}{space 1}    0.64{col 64}{space 3}0.525{col 72}{space 4}-.2487919{col 85}{space 3} .4873807
{txt}{space 30} {c |}
highdemoc_rob1#highdemoc2_rob1 {c |}
{space 26}1 1  {c |}{col 32}{res}{space 2} -.439352{col 44}{space 2} .2457944{col 55}{space 1}   -1.79{col 64}{space 3}0.074{col 72}{space 4}-.9211003{col 85}{space 3} .0423962
{txt}{space 30} {c |}
{space 22}tradedep {c |}{col 32}{res}{space 2}-.2956349{col 44}{space 2} .1532347{col 55}{space 1}   -1.93{col 64}{space 3}0.054{col 72}{space 4}-.5959694{col 85}{space 3} .0046996
{txt}{space 19}NonENRyrst1 {c |}{col 32}{res}{space 2}-.3289234{col 44}{space 2} .0547865{col 55}{space 1}   -6.00{col 64}{space 3}0.000{col 72}{space 4} -.436303{col 85}{space 3}-.2215439
{txt}{space 18}NonENRyrs2t1 {c |}{col 32}{res}{space 2} .0138908{col 44}{space 2}  .003516{col 55}{space 1}    3.95{col 64}{space 3}0.000{col 72}{space 4} .0069995{col 85}{space 3} .0207821
{txt}{space 18}NonENRyrs3t1 {c |}{col 32}{res}{space 2}-.0001674{col 44}{space 2}  .000058{col 55}{space 1}   -2.89{col 64}{space 3}0.004{col 72}{space 4} -.000281{col 85}{space 3}-.0000538
{txt}{space 22}ENRyrst1 {c |}{col 32}{res}{space 2} .4371278{col 44}{space 2} .0610086{col 55}{space 1}    7.17{col 64}{space 3}0.000{col 72}{space 4} .3175531{col 85}{space 3} .5567026
{txt}{space 21}ENRyrs2t1 {c |}{col 32}{res}{space 2}-.0188238{col 44}{space 2} .0042654{col 55}{space 1}   -4.41{col 64}{space 3}0.000{col 72}{space 4}-.0271839{col 85}{space 3}-.0104638
{txt}{space 21}ENRyrs3t1 {c |}{col 32}{res}{space 2} .0002322{col 44}{space 2} .0000704{col 55}{space 1}    3.30{col 64}{space 3}0.001{col 72}{space 4} .0000942{col 85}{space 3} .0003703
{txt}{space 25}_cons {c |}{col 32}{res}{space 2}-.7516547{col 44}{space 2} .1758432{col 55}{space 1}   -4.27{col 64}{space 3}0.000{col 72}{space 4}-1.096301{col 85}{space 3}-.4070083
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 175 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using modela2-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela2-x.doc"'"':modela2-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela2-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,771{col 27}-1849.973{col 38}-317.2529{col 49}    16{col 58} 666.5059{col 69} 777.8363
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip_rob1##i.highdemoc_rob1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2408.1281}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2358.7508}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2355.3722}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2355.3079}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2355.3079}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,171
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     14.44
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0024
{txt}Log pseudolikelihood = {res}-2355.3079{txt}{col 49}Pseudo R2{col 67}= {res}    0.0219

{txt}{ralign 94:(Std. Err. adjusted for {res:289} clusters in dyadid)}
{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}                  ethnicnrt1{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}1.smlmegip_rob1 {c |}{col 30}{res}{space 2} .0747031{col 42}{space 2} .2568018{col 53}{space 1}    0.29{col 62}{space 3}0.771{col 70}{space 4}-.4286192{col 83}{space 3} .5780254
{txt}{space 12}1.highdemoc_rob1 {c |}{col 30}{res}{space 2}-.3479611{col 42}{space 2} .2589413{col 53}{space 1}   -1.34{col 62}{space 3}0.179{col 70}{space 4}-.8554766{col 83}{space 3} .1595544
{txt}{space 28} {c |}
smlmegip_rob1#highdemoc_rob1 {c |}
{space 24}1 1  {c |}{col 30}{res}{space 2}-.9625214{col 42}{space 2} .4114845{col 53}{space 1}   -2.34{col 62}{space 3}0.019{col 70}{space 4}-1.769016{col 83}{space 3}-.1560267
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2} -1.37049{col 42}{space 2} .1336767{col 53}{space 1}  -10.25{col 62}{space 3}0.000{col 70}{space 4}-1.632492{col 83}{space 3}-1.108489
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela2-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela2-x.doc"'"':modela2-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela2-x.txt""':seeout}

{com}. lincom 1.smlmegip_rob1+1.highdemoc_rob1+1.smlmegip_rob1#1.highdemoc_rob1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip_rob1 + [ethnicnrt1]1.highdemoc_rob1 + [ethnicnrt1]1.smlmegip_rob1#1.highdemoc_rob1 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-1.235779{col 26}{space 2} .3587696{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-1.938955{col 67}{space 3} -.532604
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,171{col 27}-2408.128{col 38}-2355.308{col 49}     4{col 58} 4718.616{col 69} 4747.111
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip_rob1##i.highdemoc_rob1 unrest1 majpow1 lnCapRatio alliance i.highdemoc_rob1##i.highdemoc2_rob1 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1849.9727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-370.11641}  
Iteration 2:{space 3}log pseudolikelihood = {res:-331.09875}  
Iteration 3:{space 3}log pseudolikelihood = {res:-316.40972}  
Iteration 4:{space 3}log pseudolikelihood = {res:-315.60833}  
Iteration 5:{space 3}log pseudolikelihood = {res:-315.60136}  
Iteration 6:{space 3}log pseudolikelihood = {res:-315.60136}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,771
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2140.56
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-315.60136{txt}{col 49}Pseudo R2{col 67}= {res}    0.8294

{txt}{ralign 96:(Std. Err. adjusted for {res:269} clusters in dyadid)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                    ethnicnrt1{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.smlmegip_rob1 {c |}{col 32}{res}{space 2} .1359085{col 44}{space 2} .1401961{col 55}{space 1}    0.97{col 64}{space 3}0.332{col 72}{space 4}-.1388708{col 85}{space 3} .4106878
{txt}{space 14}1.highdemoc_rob1 {c |}{col 32}{res}{space 2} .2457813{col 44}{space 2} .2108003{col 55}{space 1}    1.17{col 64}{space 3}0.244{col 72}{space 4}-.1673797{col 85}{space 3} .6589423
{txt}{space 30} {c |}
{space 2}smlmegip_rob1#highdemoc_rob1 {c |}
{space 26}1 1  {c |}{col 32}{res}{space 2}-.9439293{col 44}{space 2} .3244749{col 55}{space 1}   -2.91{col 64}{space 3}0.004{col 72}{space 4}-1.579889{col 85}{space 3}-.3079701
{txt}{space 30} {c |}
{space 23}unrest1 {c |}{col 32}{res}{space 2}-.0201226{col 44}{space 2} .0207066{col 55}{space 1}   -0.97{col 64}{space 3}0.331{col 72}{space 4}-.0607069{col 85}{space 3} .0204616
{txt}{space 23}majpow1 {c |}{col 32}{res}{space 2} -.006467{col 44}{space 2} .2250362{col 55}{space 1}   -0.03{col 64}{space 3}0.977{col 72}{space 4}-.4475298{col 85}{space 3} .4345959
{txt}{space 20}lnCapRatio {c |}{col 32}{res}{space 2} .1001784{col 44}{space 2} .0486632{col 55}{space 1}    2.06{col 64}{space 3}0.040{col 72}{space 4} .0048003{col 85}{space 3} .1955564
{txt}{space 22}alliance {c |}{col 32}{res}{space 2} .1739169{col 44}{space 2} .1190736{col 55}{space 1}    1.46{col 64}{space 3}0.144{col 72}{space 4} -.059463{col 85}{space 3} .4072968
{txt}{space 13}1.highdemoc2_rob1 {c |}{col 32}{res}{space 2} .1222282{col 44}{space 2} .1891023{col 55}{space 1}    0.65{col 64}{space 3}0.518{col 72}{space 4}-.2484056{col 85}{space 3} .4928619
{txt}{space 30} {c |}
highdemoc_rob1#highdemoc2_rob1 {c |}
{space 26}1 1  {c |}{col 32}{res}{space 2}-.5138378{col 44}{space 2} .2474915{col 55}{space 1}   -2.08{col 64}{space 3}0.038{col 72}{space 4}-.9989122{col 85}{space 3}-.0287634
{txt}{space 30} {c |}
{space 22}tradedep {c |}{col 32}{res}{space 2}-.2933312{col 44}{space 2} .1501897{col 55}{space 1}   -1.95{col 64}{space 3}0.051{col 72}{space 4}-.5876976{col 85}{space 3} .0010352
{txt}{space 19}NonENRyrst1 {c |}{col 32}{res}{space 2}-.3280893{col 44}{space 2} .0548701{col 55}{space 1}   -5.98{col 64}{space 3}0.000{col 72}{space 4}-.4356327{col 85}{space 3}-.2205459
{txt}{space 18}NonENRyrs2t1 {c |}{col 32}{res}{space 2} .0138697{col 44}{space 2} .0035461{col 55}{space 1}    3.91{col 64}{space 3}0.000{col 72}{space 4} .0069195{col 85}{space 3} .0208199
{txt}{space 18}NonENRyrs3t1 {c |}{col 32}{res}{space 2}-.0001675{col 44}{space 2} .0000586{col 55}{space 1}   -2.86{col 64}{space 3}0.004{col 72}{space 4}-.0002824{col 85}{space 3}-.0000525
{txt}{space 22}ENRyrst1 {c |}{col 32}{res}{space 2} .4364703{col 44}{space 2} .0606423{col 55}{space 1}    7.20{col 64}{space 3}0.000{col 72}{space 4} .3176135{col 85}{space 3}  .555327
{txt}{space 21}ENRyrs2t1 {c |}{col 32}{res}{space 2}-.0187731{col 44}{space 2} .0042184{col 55}{space 1}   -4.45{col 64}{space 3}0.000{col 72}{space 4}-.0270409{col 85}{space 3}-.0105052
{txt}{space 21}ENRyrs3t1 {c |}{col 32}{res}{space 2} .0002313{col 44}{space 2} .0000695{col 55}{space 1}    3.33{col 64}{space 3}0.001{col 72}{space 4} .0000951{col 85}{space 3} .0003675
{txt}{space 25}_cons {c |}{col 32}{res}{space 2}-.7862717{col 44}{space 2} .1741066{col 55}{space 1}   -4.52{col 64}{space 3}0.000{col 72}{space 4}-1.127514{col 85}{space 3} -.445029
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 181 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using modela2-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela2-x.doc"'"':modela2-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela2-x.txt""':seeout}

{com}. lincom 1.smlmegip_rob1+1.highdemoc_rob1+1.smlmegip_rob1#1.highdemoc_rob1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip_rob1 + [ethnicnrt1]1.highdemoc_rob1 + [ethnicnrt1]1.smlmegip_rob1#1.highdemoc_rob1 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.5622395{col 26}{space 2} .2863082{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4}-1.123393{col 67}{space 3}-.0010857
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,771{col 27}-1849.973{col 38}-315.6014{col 49}    17{col 58} 665.2027{col 69} 783.4913
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. /* second alternative measure of small MEGIP, high democracy */
. probit civicnrt1 smlmegip Democracy1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6051.2208}  
Iteration 1:{space 3}log pseudolikelihood = {res:     -5966}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5964.9526}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5964.9525}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    42,336
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      7.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0234
{txt}Log pseudolikelihood = {res}-5964.9525{txt}{col 49}Pseudo R2{col 67}= {res}    0.0143

{txt}{ralign 78:(Std. Err. adjusted for {res:1,071} clusters in dyadid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2} .3338821{col 26}{space 2} .1450756{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .0495391{col 67}{space 3} .6182251
{txt}{space 2}Democracy1 {c |}{col 14}{res}{space 2} .0383556{col 26}{space 2} .1508631{col 37}{space 1}    0.25{col 46}{space 3}0.799{col 54}{space 4}-.2573307{col 67}{space 3}  .334042
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.976713{col 26}{space 2} .1083877{col 37}{space 1}  -18.24{col 46}{space 3}0.000{col 54}{space 4}-2.189149{col 67}{space 3}-1.764276
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela3-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela3-x.doc"'"':modela3-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela3-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    42,336{col 27}-6051.221{col 38}-5964.952{col 49}     3{col 58}  11935.9{col 69} 11961.87
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 smlmegip Democracy1 unrest1 majpow1 lnCapRatio alliance i.Democracy1##i.Democracy2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{txt}note: 1.Democracy1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5122.203}  
Iteration 1:{space 3}log pseudolikelihood = {res:-857.41906}  
Iteration 2:{space 3}log pseudolikelihood = {res: -790.0435}  
Iteration 3:{space 3}log pseudolikelihood = {res:-712.87823}  
Iteration 4:{space 3}log pseudolikelihood = {res:-709.79185}  
Iteration 5:{space 3}log pseudolikelihood = {res:-709.64158}  
Iteration 6:{space 3}log pseudolikelihood = {res:-709.64108}  
Iteration 7:{space 3}log pseudolikelihood = {res:-709.64108}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    37,169
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   2431.99
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-709.64108{txt}{col 49}Pseudo R2{col 67}= {res}    0.8615

{txt}{ralign 87:(Std. Err. adjusted for {res:975} clusters in dyadid)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            civicnrt1{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}smlmegip {c |}{col 23}{res}{space 2} .1320252{col 35}{space 2} .0934512{col 46}{space 1}    1.41{col 55}{space 3}0.158{col 63}{space 4}-.0511358{col 76}{space 3} .3151863
{txt}{space 11}Democracy1 {c |}{col 23}{res}{space 2} .1232549{col 35}{space 2} .1294119{col 46}{space 1}    0.95{col 55}{space 3}0.341{col 63}{space 4}-.1303877{col 76}{space 3} .3768976
{txt}{space 14}unrest1 {c |}{col 23}{res}{space 2} .0030402{col 35}{space 2} .0081407{col 46}{space 1}    0.37{col 55}{space 3}0.709{col 63}{space 4}-.0129153{col 76}{space 3} .0189956
{txt}{space 14}majpow1 {c |}{col 23}{res}{space 2} .1605017{col 35}{space 2} .1763623{col 46}{space 1}    0.91{col 55}{space 3}0.363{col 63}{space 4} -.185162{col 76}{space 3} .5061654
{txt}{space 11}lnCapRatio {c |}{col 23}{res}{space 2} .0955487{col 35}{space 2} .0399238{col 46}{space 1}    2.39{col 55}{space 3}0.017{col 63}{space 4} .0172994{col 76}{space 3}  .173798
{txt}{space 13}alliance {c |}{col 23}{res}{space 2}  .104929{col 35}{space 2} .0856625{col 46}{space 1}    1.22{col 55}{space 3}0.221{col 63}{space 4}-.0629664{col 76}{space 3} .2728245
{txt}{space 9}1.Democracy1 {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 9}1.Democracy2 {c |}{col 23}{res}{space 2} .0524662{col 35}{space 2} .1346973{col 46}{space 1}    0.39{col 55}{space 3}0.697{col 63}{space 4}-.2115358{col 76}{space 3} .3164681
{txt}{space 21} {c |}
Democracy1#Democracy2 {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2}-.5203689{col 35}{space 2} .2211946{col 46}{space 1}   -2.35{col 55}{space 3}0.019{col 63}{space 4}-.9539023{col 76}{space 3}-.0868355
{txt}{space 21} {c |}
{space 13}tradedep {c |}{col 23}{res}{space 2} .0618872{col 35}{space 2} .0240697{col 46}{space 1}    2.57{col 55}{space 3}0.010{col 63}{space 4} .0147114{col 76}{space 3}  .109063
{txt}{space 10}NonCNRyrst1 {c |}{col 23}{res}{space 2}-.3323982{col 35}{space 2} .0333423{col 46}{space 1}   -9.97{col 55}{space 3}0.000{col 63}{space 4}-.3977478{col 76}{space 3}-.2670485
{txt}{space 9}NonCNRyrs2t1 {c |}{col 23}{res}{space 2} .0138519{col 35}{space 2} .0021816{col 46}{space 1}    6.35{col 55}{space 3}0.000{col 63}{space 4}  .009576{col 76}{space 3} .0181277
{txt}{space 9}NonCNRyrs3t1 {c |}{col 23}{res}{space 2}-.0001674{col 35}{space 2} .0000366{col 46}{space 1}   -4.57{col 55}{space 3}0.000{col 63}{space 4}-.0002392{col 76}{space 3}-.0000956
{txt}{space 13}CNRyrst1 {c |}{col 23}{res}{space 2} .5403193{col 35}{space 2} .0399651{col 46}{space 1}   13.52{col 55}{space 3}0.000{col 63}{space 4} .4619891{col 76}{space 3} .6186496
{txt}{space 12}CNRyrs2t1 {c |}{col 23}{res}{space 2}-.0247141{col 35}{space 2} .0031424{col 46}{space 1}   -7.86{col 55}{space 3}0.000{col 63}{space 4}-.0308732{col 76}{space 3}-.0185551
{txt}{space 12}CNRyrs3t1 {c |}{col 23}{res}{space 2} .0003146{col 35}{space 2} .0000582{col 46}{space 1}    5.41{col 55}{space 3}0.000{col 63}{space 4} .0002006{col 76}{space 3} .0004287
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-1.053634{col 35}{space 2}  .139881{col 46}{space 1}   -7.53{col 55}{space 3}0.000{col 63}{space 4}-1.327796{col 76}{space 3}-.7794724
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1461 failures and 22 successes completely determined.{p_end}

{com}. outreg2 using modela3-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela3-x.doc"'"':modela3-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela3-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    37,169{col 27}-5122.203{col 38}-709.6411{col 49}    16{col 58} 1451.282{col 69} 1587.654
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip##i.Democracy1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6051.2208}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5906.0015}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5895.9982}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5895.9739}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5895.9739}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    42,336
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     11.46
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0095
{txt}Log pseudolikelihood = {res}-5895.9739{txt}{col 49}Pseudo R2{col 67}= {res}    0.0257

{txt}{ralign 85:(Std. Err. adjusted for {res:1,071} clusters in dyadid)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}          civicnrt1{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.smlmegip {c |}{col 21}{res}{space 2} .1420468{col 33}{space 2} .1394166{col 44}{space 1}    1.02{col 53}{space 3}0.308{col 61}{space 4}-.1312047{col 74}{space 3} .4152983
{txt}{space 7}1.Democracy1 {c |}{col 21}{res}{space 2}-.1670991{col 33}{space 2} .1337068{col 44}{space 1}   -1.25{col 53}{space 3}0.211{col 61}{space 4}-.4291597{col 74}{space 3} .0949615
{txt}{space 19} {c |}
smlmegip#Democracy1 {c |}
{space 15}1 1  {c |}{col 21}{res}{space 2} .6382062{col 33}{space 2} .2798857{col 44}{space 1}    2.28{col 53}{space 3}0.023{col 61}{space 4} .0896404{col 74}{space 3} 1.186772
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-1.889909{col 33}{space 2} .0943029{col 44}{space 1}  -20.04{col 53}{space 3}0.000{col 61}{space 4} -2.07474{col 74}{space 3}-1.705079
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela3-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela3-x.doc"'"':modela3-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela3-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.Democracy1+1.smlmegip#1.Democracy1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip + [civicnrt1]1.Democracy1 + [civicnrt1]1.smlmegip#1.Democracy1 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .6131539{col 26}{space 2} .2629775{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0977274{col 67}{space 3}  1.12858
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    42,336{col 27}-6051.221{col 38}-5895.974{col 49}     4{col 58} 11799.95{col 69} 11834.56
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip##i.Democracy1 unrest1 majpow1 lnCapRatio alliance i.Democracy1##i.Democracy2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5122.203}  
Iteration 1:{space 3}log pseudolikelihood = {res:-856.31828}  
Iteration 2:{space 3}log pseudolikelihood = {res:-784.88777}  
Iteration 3:{space 3}log pseudolikelihood = {res:-709.61387}  
Iteration 4:{space 3}log pseudolikelihood = {res:-706.43329}  
Iteration 5:{space 3}log pseudolikelihood = {res:-706.27347}  
Iteration 6:{space 3}log pseudolikelihood = {res:-706.27295}  
Iteration 7:{space 3}log pseudolikelihood = {res:-706.27295}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    37,169
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2428.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-706.27295{txt}{col 49}Pseudo R2{col 67}= {res}    0.8621

{txt}{ralign 87:(Std. Err. adjusted for {res:975} clusters in dyadid)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            civicnrt1{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}1.smlmegip {c |}{col 23}{res}{space 2} .0403297{col 35}{space 2} .1022047{col 46}{space 1}    0.39{col 55}{space 3}0.693{col 63}{space 4}-.1599878{col 76}{space 3} .2406472
{txt}{space 9}1.Democracy1 {c |}{col 23}{res}{space 2} -.039762{col 35}{space 2} .1540999{col 46}{space 1}   -0.26{col 55}{space 3}0.796{col 63}{space 4}-.3417922{col 76}{space 3} .2622682
{txt}{space 21} {c |}
{space 2}smlmegip#Democracy1 {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2} .4843985{col 35}{space 2} .2058856{col 46}{space 1}    2.35{col 55}{space 3}0.019{col 63}{space 4} .0808701{col 76}{space 3}  .887927
{txt}{space 21} {c |}
{space 14}unrest1 {c |}{col 23}{res}{space 2}-.0023177{col 35}{space 2} .0090133{col 46}{space 1}   -0.26{col 55}{space 3}0.797{col 63}{space 4}-.0199835{col 76}{space 3}  .015348
{txt}{space 14}majpow1 {c |}{col 23}{res}{space 2} .1714628{col 35}{space 2} .1770957{col 46}{space 1}    0.97{col 55}{space 3}0.333{col 63}{space 4}-.1756384{col 76}{space 3} .5185639
{txt}{space 11}lnCapRatio {c |}{col 23}{res}{space 2} .0967554{col 35}{space 2} .0416676{col 46}{space 1}    2.32{col 55}{space 3}0.020{col 63}{space 4} .0150884{col 76}{space 3} .1784225
{txt}{space 13}alliance {c |}{col 23}{res}{space 2} .0952698{col 35}{space 2} .0864778{col 46}{space 1}    1.10{col 55}{space 3}0.271{col 63}{space 4}-.0742236{col 76}{space 3} .2647631
{txt}{space 9}1.Democracy2 {c |}{col 23}{res}{space 2} .0401455{col 35}{space 2} .1334327{col 46}{space 1}    0.30{col 55}{space 3}0.764{col 63}{space 4}-.2213778{col 76}{space 3} .3016688
{txt}{space 21} {c |}
Democracy1#Democracy2 {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2}-.4137651{col 35}{space 2} .2286522{col 46}{space 1}   -1.81{col 55}{space 3}0.070{col 63}{space 4}-.8619152{col 76}{space 3}  .034385
{txt}{space 21} {c |}
{space 13}tradedep {c |}{col 23}{res}{space 2} .0614931{col 35}{space 2} .0229579{col 46}{space 1}    2.68{col 55}{space 3}0.007{col 63}{space 4} .0164964{col 76}{space 3} .1064898
{txt}{space 10}NonCNRyrst1 {c |}{col 23}{res}{space 2}-.3333115{col 35}{space 2} .0336805{col 46}{space 1}   -9.90{col 55}{space 3}0.000{col 63}{space 4}-.3993242{col 76}{space 3}-.2672989
{txt}{space 9}NonCNRyrs2t1 {c |}{col 23}{res}{space 2}  .013894{col 35}{space 2} .0021971{col 46}{space 1}    6.32{col 55}{space 3}0.000{col 63}{space 4} .0095877{col 76}{space 3} .0182003
{txt}{space 9}NonCNRyrs3t1 {c |}{col 23}{res}{space 2}-.0001679{col 35}{space 2} .0000368{col 46}{space 1}   -4.56{col 55}{space 3}0.000{col 63}{space 4}-.0002401{col 76}{space 3}-.0000958
{txt}{space 13}CNRyrst1 {c |}{col 23}{res}{space 2} .5414039{col 35}{space 2} .0403722{col 46}{space 1}   13.41{col 55}{space 3}0.000{col 63}{space 4} .4622758{col 76}{space 3} .6205321
{txt}{space 12}CNRyrs2t1 {c |}{col 23}{res}{space 2}-.0247662{col 35}{space 2} .0031845{col 46}{space 1}   -7.78{col 55}{space 3}0.000{col 63}{space 4}-.0310078{col 76}{space 3}-.0185247
{txt}{space 12}CNRyrs3t1 {c |}{col 23}{res}{space 2} .0003151{col 35}{space 2} .0000589{col 46}{space 1}    5.35{col 55}{space 3}0.000{col 63}{space 4} .0001997{col 76}{space 3} .0004304
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.9968077{col 35}{space 2} .1427629{col 46}{space 1}   -6.98{col 55}{space 3}0.000{col 63}{space 4}-1.276618{col 76}{space 3}-.7169976
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1481 failures and 24 successes completely determined.{p_end}

{com}. outreg2 using modela3-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela3-x.doc"'"':modela3-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela3-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.Democracy1+1.smlmegip#1.Democracy1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip + [civicnrt1]1.Democracy1 + [civicnrt1]1.smlmegip#1.Democracy1 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4849662{col 26}{space 2} .1702138{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .1513534{col 67}{space 3} .8185791
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    37,169{col 27}-5122.203{col 38} -706.273{col 49}    17{col 58} 1446.546{col 69} 1591.441
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip Democracy1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2444.7747}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2390.8032}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2390.0729}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2390.0728}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,420
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      4.63
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0989
{txt}Log pseudolikelihood = {res}-2390.0728{txt}{col 49}Pseudo R2{col 67}= {res}    0.0224

{txt}{ralign 78:(Std. Err. adjusted for {res:295} clusters in dyadid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2}-.1854967{col 26}{space 2}  .210455{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.5979808{col 67}{space 3} .2269875
{txt}{space 2}Democracy1 {c |}{col 14}{res}{space 2}-.4983236{col 26}{space 2} .2429294{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.9744565{col 67}{space 3}-.0221907
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.295079{col 26}{space 2} .1414162{col 37}{space 1}   -9.16{col 46}{space 3}0.000{col 54}{space 4} -1.57225{col 67}{space 3}-1.017909
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela4-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela4-x.doc"'"':modela4-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela4-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,420{col 27}-2444.775{col 38}-2390.073{col 49}     3{col 58} 4786.146{col 69} 4807.597
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip Democracy1 unrest1 majpow1 lnCapRatio alliance i.Democracy1##i.Democracy2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{txt}note: 1.Democracy1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1954.6541}  
Iteration 1:{space 3}log pseudolikelihood = {res:-398.46077}  
Iteration 2:{space 3}log pseudolikelihood = {res:-356.98492}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.28284}  
Iteration 4:{space 3}log pseudolikelihood = {res:-340.26299}  
Iteration 5:{space 3}log pseudolikelihood = {res:-340.25444}  
Iteration 6:{space 3}log pseudolikelihood = {res:-340.25444}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     8,218
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1988.86
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-340.25444{txt}{col 49}Pseudo R2{col 67}= {res}    0.8259

{txt}{ralign 87:(Std. Err. adjusted for {res:274} clusters in dyadid)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           ethnicnrt1{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}smlmegip {c |}{col 23}{res}{space 2}-.0387755{col 35}{space 2} .1189629{col 46}{space 1}   -0.33{col 55}{space 3}0.744{col 63}{space 4}-.2719385{col 76}{space 3} .1943874
{txt}{space 11}Democracy1 {c |}{col 23}{res}{space 2} .0062532{col 35}{space 2} .1796124{col 46}{space 1}    0.03{col 55}{space 3}0.972{col 63}{space 4}-.3457807{col 76}{space 3} .3582872
{txt}{space 14}unrest1 {c |}{col 23}{res}{space 2}-.0134087{col 35}{space 2} .0162935{col 46}{space 1}   -0.82{col 55}{space 3}0.411{col 63}{space 4}-.0453434{col 76}{space 3}  .018526
{txt}{space 14}majpow1 {c |}{col 23}{res}{space 2}-.0730107{col 35}{space 2}  .212953{col 46}{space 1}   -0.34{col 55}{space 3}0.732{col 63}{space 4}-.4903909{col 76}{space 3} .3443696
{txt}{space 11}lnCapRatio {c |}{col 23}{res}{space 2} .0944616{col 35}{space 2} .0482524{col 46}{space 1}    1.96{col 55}{space 3}0.050{col 63}{space 4}-.0001114{col 76}{space 3} .1890346
{txt}{space 13}alliance {c |}{col 23}{res}{space 2} .1068016{col 35}{space 2} .1235926{col 46}{space 1}    0.86{col 55}{space 3}0.388{col 63}{space 4}-.1354355{col 76}{space 3} .3490387
{txt}{space 9}1.Democracy1 {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 9}1.Democracy2 {c |}{col 23}{res}{space 2}-.2378751{col 35}{space 2} .1898972{col 46}{space 1}   -1.25{col 55}{space 3}0.210{col 63}{space 4}-.6100667{col 76}{space 3} .1343165
{txt}{space 21} {c |}
Democracy1#Democracy2 {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2}-.1878682{col 35}{space 2} .2767437{col 46}{space 1}   -0.68{col 55}{space 3}0.497{col 63}{space 4} -.730276{col 76}{space 3} .3545396
{txt}{space 21} {c |}
{space 13}tradedep {c |}{col 23}{res}{space 2}-.2846237{col 35}{space 2} .1445109{col 46}{space 1}   -1.97{col 55}{space 3}0.049{col 63}{space 4}-.5678599{col 76}{space 3}-.0013875
{txt}{space 10}NonENRyrst1 {c |}{col 23}{res}{space 2}-.3438869{col 35}{space 2} .0549316{col 46}{space 1}   -6.26{col 55}{space 3}0.000{col 63}{space 4}-.4515509{col 76}{space 3} -.236223
{txt}{space 9}NonENRyrs2t1 {c |}{col 23}{res}{space 2} .0146725{col 35}{space 2} .0035528{col 46}{space 1}    4.13{col 55}{space 3}0.000{col 63}{space 4} .0077092{col 76}{space 3} .0216358
{txt}{space 9}NonENRyrs3t1 {c |}{col 23}{res}{space 2}-.0001782{col 35}{space 2} .0000588{col 46}{space 1}   -3.03{col 55}{space 3}0.002{col 63}{space 4}-.0002935{col 76}{space 3} -.000063
{txt}{space 13}ENRyrst1 {c |}{col 23}{res}{space 2} .4220826{col 35}{space 2} .0585228{col 46}{space 1}    7.21{col 55}{space 3}0.000{col 63}{space 4}   .30738{col 76}{space 3} .5367851
{txt}{space 12}ENRyrs2t1 {c |}{col 23}{res}{space 2}-.0179104{col 35}{space 2} .0040738{col 46}{space 1}   -4.40{col 55}{space 3}0.000{col 63}{space 4}-.0258949{col 76}{space 3}-.0099258
{txt}{space 12}ENRyrs3t1 {c |}{col 23}{res}{space 2}  .000221{col 35}{space 2} .0000672{col 46}{space 1}    3.29{col 55}{space 3}0.001{col 63}{space 4} .0000893{col 76}{space 3} .0003526
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.6028404{col 35}{space 2} .1704377{col 46}{space 1}   -3.54{col 55}{space 3}0.000{col 63}{space 4}-.9368922{col 76}{space 3}-.2687885
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 198 failures and 9 successes completely determined.{p_end}

{com}. outreg2 using modela4-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela4-x.doc"'"':modela4-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela4-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     8,218{col 27}-1954.654{col 38}-340.2544{col 49}    16{col 58} 712.5089{col 69} 824.7342
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.Democracy1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2444.7747}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2387.3296}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2383.6263}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2383.5263}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2383.5263}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,420
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     14.31
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0025
{txt}Log pseudolikelihood = {res}-2383.5263{txt}{col 49}Pseudo R2{col 67}= {res}    0.0251

{txt}{ralign 85:(Std. Err. adjusted for {res:295} clusters in dyadid)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}         ethnicnrt1{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.smlmegip {c |}{col 21}{res}{space 2} -.139564{col 33}{space 2} .2252243{col 44}{space 1}   -0.62{col 53}{space 3}0.535{col 61}{space 4}-.5809956{col 74}{space 3} .3018675
{txt}{space 7}1.Democracy1 {c |}{col 21}{res}{space 2}-.4336544{col 33}{space 2} .2633893{col 44}{space 1}   -1.65{col 53}{space 3}0.100{col 61}{space 4} -.949888{col 74}{space 3} .0825792
{txt}{space 19} {c |}
smlmegip#Democracy1 {c |}
{space 15}1 1  {c |}{col 21}{res}{space 2}-.7347634{col 33}{space 2} .4014903{col 44}{space 1}   -1.83{col 53}{space 3}0.067{col 61}{space 4} -1.52167{col 74}{space 3}  .052143
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-1.309824{col 33}{space 2} .1466666{col 44}{space 1}   -8.93{col 53}{space 3}0.000{col 61}{space 4}-1.597286{col 74}{space 3}-1.022363
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela4-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela4-x.doc"'"':modela4-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela4-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.Democracy1+1.smlmegip#1.Democracy1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.Democracy1 + [ethnicnrt1]1.smlmegip#1.Democracy1 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-1.307982{col 26}{space 2} .3578835{col 37}{space 1}   -3.65{col 46}{space 3}0.000{col 54}{space 4}-2.009421{col 67}{space 3}-.6065431
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,420{col 27}-2444.775{col 38}-2383.526{col 49}     4{col 58} 4775.053{col 69} 4803.655
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.Democracy1 unrest1 majpow1 lnCapRatio alliance i.Democracy1##i.Democracy2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1954.6541}  
Iteration 1:{space 3}log pseudolikelihood = {res: -397.8855}  
Iteration 2:{space 3}log pseudolikelihood = {res:-356.09484}  
Iteration 3:{space 3}log pseudolikelihood = {res:-339.80624}  
Iteration 4:{space 3}log pseudolikelihood = {res:-338.79053}  
Iteration 5:{space 3}log pseudolikelihood = {res:-338.78214}  
Iteration 6:{space 3}log pseudolikelihood = {res:-338.78214}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     8,218
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2087.37
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-338.78214{txt}{col 49}Pseudo R2{col 67}= {res}    0.8267

{txt}{ralign 87:(Std. Err. adjusted for {res:274} clusters in dyadid)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           ethnicnrt1{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}1.smlmegip {c |}{col 23}{res}{space 2} .0194566{col 35}{space 2} .1264595{col 46}{space 1}    0.15{col 55}{space 3}0.878{col 63}{space 4}-.2283995{col 76}{space 3} .2673127
{txt}{space 9}1.Democracy1 {c |}{col 23}{res}{space 2} .1096625{col 35}{space 2} .1936971{col 46}{space 1}    0.57{col 55}{space 3}0.571{col 63}{space 4}-.2699769{col 76}{space 3} .4893018
{txt}{space 21} {c |}
{space 2}smlmegip#Democracy1 {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2}-.8411078{col 35}{space 2} .3061404{col 46}{space 1}   -2.75{col 55}{space 3}0.006{col 63}{space 4}-1.441132{col 76}{space 3}-.2410837
{txt}{space 21} {c |}
{space 14}unrest1 {c |}{col 23}{res}{space 2}-.0101444{col 35}{space 2}  .018419{col 46}{space 1}   -0.55{col 55}{space 3}0.582{col 63}{space 4}-.0462449{col 76}{space 3} .0259562
{txt}{space 14}majpow1 {c |}{col 23}{res}{space 2}-.0863412{col 35}{space 2} .2161054{col 46}{space 1}   -0.40{col 55}{space 3}0.690{col 63}{space 4}-.5098999{col 76}{space 3} .3372176
{txt}{space 11}lnCapRatio {c |}{col 23}{res}{space 2} .0863146{col 35}{space 2}  .047347{col 46}{space 1}    1.82{col 55}{space 3}0.068{col 63}{space 4}-.0064838{col 76}{space 3} .1791131
{txt}{space 13}alliance {c |}{col 23}{res}{space 2} .0920465{col 35}{space 2}  .123097{col 46}{space 1}    0.75{col 55}{space 3}0.455{col 63}{space 4}-.1492192{col 76}{space 3} .3333123
{txt}{space 9}1.Democracy2 {c |}{col 23}{res}{space 2}-.2355692{col 35}{space 2} .1907223{col 46}{space 1}   -1.24{col 55}{space 3}0.217{col 63}{space 4}-.6093781{col 76}{space 3} .1382397
{txt}{space 21} {c |}
Democracy1#Democracy2 {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2}-.2431357{col 35}{space 2} .2766475{col 46}{space 1}   -0.88{col 55}{space 3}0.379{col 63}{space 4}-.7853549{col 76}{space 3} .2990836
{txt}{space 21} {c |}
{space 13}tradedep {c |}{col 23}{res}{space 2}-.2833082{col 35}{space 2} .1420961{col 46}{space 1}   -1.99{col 55}{space 3}0.046{col 63}{space 4}-.5618114{col 76}{space 3}-.0048051
{txt}{space 10}NonENRyrst1 {c |}{col 23}{res}{space 2}-.3426698{col 35}{space 2} .0548507{col 46}{space 1}   -6.25{col 55}{space 3}0.000{col 63}{space 4}-.4501752{col 76}{space 3}-.2351644
{txt}{space 9}NonENRyrs2t1 {c |}{col 23}{res}{space 2} .0146398{col 35}{space 2} .0035682{col 46}{space 1}    4.10{col 55}{space 3}0.000{col 63}{space 4} .0076462{col 76}{space 3} .0216334
{txt}{space 9}NonENRyrs3t1 {c |}{col 23}{res}{space 2}-.0001781{col 35}{space 2} .0000592{col 46}{space 1}   -3.01{col 55}{space 3}0.003{col 63}{space 4}-.0002942{col 76}{space 3} -.000062
{txt}{space 13}ENRyrst1 {c |}{col 23}{res}{space 2} .4217594{col 35}{space 2}  .058185{col 46}{space 1}    7.25{col 55}{space 3}0.000{col 63}{space 4} .3077188{col 76}{space 3}    .5358
{txt}{space 12}ENRyrs2t1 {c |}{col 23}{res}{space 2}-.0178829{col 35}{space 2} .0040304{col 46}{space 1}   -4.44{col 55}{space 3}0.000{col 63}{space 4}-.0257823{col 76}{space 3}-.0099834
{txt}{space 12}ENRyrs3t1 {c |}{col 23}{res}{space 2} .0002205{col 35}{space 2} .0000663{col 46}{space 1}    3.32{col 55}{space 3}0.001{col 63}{space 4} .0000905{col 76}{space 3} .0003504
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.6321298{col 35}{space 2} .1689261{col 46}{space 1}   -3.74{col 55}{space 3}0.000{col 63}{space 4}-.9632188{col 76}{space 3}-.3010408
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 204 failures and 9 successes completely determined.{p_end}

{com}. outreg2 using modela4-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela4-x.doc"'"':modela4-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela4-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.Democracy1+1.smlmegip#1.Democracy1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.Democracy1 + [ethnicnrt1]1.smlmegip#1.Democracy1 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.7119887{col 26}{space 2} .2814474{col 37}{space 1}   -2.53{col 46}{space 3}0.011{col 54}{space 4}-1.263616{col 67}{space 3}-.1603619
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     8,218{col 27}-1954.654{col 38}-338.7821{col 49}    17{col 58} 711.5643{col 69} 830.8037
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. /* Contiguity water <= 150 miles */
. probit civicnrt1 smlmegip highdemoc, cluster(dyadid), if Contig150==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5486.5493}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5425.5744}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5425.1125}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5425.1125}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    32,495
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      5.00
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0822
{txt}Log pseudolikelihood = {res}-5425.1125{txt}{col 49}Pseudo R2{col 67}= {res}    0.0112

{txt}{ralign 78:(Std. Err. adjusted for {res:851} clusters in dyadid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2} .2969211{col 26}{space 2} .1511291{col 37}{space 1}    1.96{col 46}{space 3}0.049{col 54}{space 4} .0007135{col 67}{space 3} .5931287
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2} .0490867{col 26}{space 2} .1552949{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-.2552856{col 67}{space 3} .3534591
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -1.87319{col 26}{space 2} .1152098{col 37}{space 1}  -16.26{col 46}{space 3}0.000{col 54}{space 4}-2.098997{col 67}{space 3}-1.647383
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela5-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela5-x.doc"'"':modela5-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela5-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    32,495{col 27}-5486.549{col 38}-5425.112{col 49}     3{col 58} 10856.22{col 69} 10881.39
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 smlmegip highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig150==1 & year>=1950

{txt}note: 1.highdemoc omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4541.7532}  
Iteration 1:{space 3}log pseudolikelihood = {res:-751.33669}  
Iteration 2:{space 3}log pseudolikelihood = {res:-694.34524}  
Iteration 3:{space 3}log pseudolikelihood = {res:-629.07251}  
Iteration 4:{space 3}log pseudolikelihood = {res:-625.81555}  
Iteration 5:{space 3}log pseudolikelihood = {res:-625.25166}  
Iteration 6:{space 3}log pseudolikelihood = {res: -625.2506}  
Iteration 7:{space 3}log pseudolikelihood = {res: -625.2506}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    27,820
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1857.17
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -625.2506{txt}{col 49}Pseudo R2{col 67}= {res}    0.8623

{txt}{ralign 86:(Std. Err. adjusted for {res:780} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           civicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}smlmegip {c |}{col 22}{res}{space 2} .0864302{col 34}{space 2} .0953101{col 45}{space 1}    0.91{col 54}{space 3}0.364{col 62}{space 4}-.1003741{col 75}{space 3} .2732345
{txt}{space 11}highdemoc {c |}{col 22}{res}{space 2} .1234806{col 34}{space 2} .1343799{col 45}{space 1}    0.92{col 54}{space 3}0.358{col 62}{space 4}-.1398991{col 75}{space 3} .3868604
{txt}{space 13}unrest1 {c |}{col 22}{res}{space 2} .0101823{col 34}{space 2} .0062453{col 45}{space 1}    1.63{col 54}{space 3}0.103{col 62}{space 4}-.0020583{col 75}{space 3} .0224229
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} .2182838{col 34}{space 2} .1902173{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4}-.1545354{col 75}{space 3} .5911029
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .0816267{col 34}{space 2} .0400427{col 45}{space 1}    2.04{col 54}{space 3}0.042{col 62}{space 4} .0031443{col 75}{space 3}  .160109
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .1005273{col 34}{space 2}  .091494{col 45}{space 1}    1.10{col 54}{space 3}0.272{col 62}{space 4}-.0787976{col 75}{space 3} .2798522
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .1020596{col 34}{space 2} .1366385{col 45}{space 1}    0.75{col 54}{space 3}0.455{col 62}{space 4}-.1657469{col 75}{space 3} .3698661
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.4634828{col 34}{space 2} .2335465{col 45}{space 1}   -1.98{col 54}{space 3}0.047{col 62}{space 4}-.9212256{col 75}{space 3}  -.00574
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}-.4886352{col 34}{space 2} .1241142{col 45}{space 1}   -3.94{col 54}{space 3}0.000{col 62}{space 4}-.7318946{col 75}{space 3}-.2453758
{txt}{space 9}NonCNRyrst1 {c |}{col 22}{res}{space 2}-.3116345{col 34}{space 2} .0354762{col 45}{space 1}   -8.78{col 54}{space 3}0.000{col 62}{space 4}-.3811665{col 75}{space 3}-.2421025
{txt}{space 8}NonCNRyrs2t1 {c |}{col 22}{res}{space 2} .0130084{col 34}{space 2} .0024385{col 45}{space 1}    5.33{col 54}{space 3}0.000{col 62}{space 4} .0082291{col 75}{space 3} .0177877
{txt}{space 8}NonCNRyrs3t1 {c |}{col 22}{res}{space 2}-.0001585{col 34}{space 2} .0000421{col 45}{space 1}   -3.76{col 54}{space 3}0.000{col 62}{space 4}-.0002411{col 75}{space 3} -.000076
{txt}{space 12}CNRyrst1 {c |}{col 22}{res}{space 2} .5499383{col 34}{space 2} .0408101{col 45}{space 1}   13.48{col 54}{space 3}0.000{col 62}{space 4} .4699519{col 75}{space 3} .6299247
{txt}{space 11}CNRyrs2t1 {c |}{col 22}{res}{space 2}-.0253822{col 34}{space 2} .0029639{col 45}{space 1}   -8.56{col 54}{space 3}0.000{col 62}{space 4}-.0311912{col 75}{space 3}-.0195731
{txt}{space 11}CNRyrs3t1 {c |}{col 22}{res}{space 2} .0003264{col 34}{space 2} .0000528{col 45}{space 1}    6.18{col 54}{space 3}0.000{col 62}{space 4} .0002228{col 75}{space 3}   .00043
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.038814{col 34}{space 2} .1455458{col 45}{space 1}   -7.14{col 54}{space 3}0.000{col 62}{space 4}-1.324079{col 75}{space 3}-.7535499
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1249 failures and 15 successes completely determined.{p_end}

{com}. outreg2 using modela5-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela5-x.doc"'"':modela5-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela5-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    27,820{col 27}-4541.753{col 38}-625.2506{col 49}    16{col 58} 1282.501{col 69} 1414.237
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip##i.highdemoc, cluster(dyadid), if Contig150==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5486.5493}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5366.2991}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5360.1736}  
Iteration 3:{space 3}log pseudolikelihood = {res: -5360.165}  
Iteration 4:{space 3}log pseudolikelihood = {res: -5360.165}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    32,495
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}      9.32
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0253
{txt}Log pseudolikelihood = {res} -5360.165{txt}{col 49}Pseudo R2{col 67}= {res}    0.0230

{txt}{ralign 84:(Std. Err. adjusted for {res:851} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}         civicnrt1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.smlmegip {c |}{col 20}{res}{space 2} .0887588{col 32}{space 2} .1505857{col 43}{space 1}    0.59{col 52}{space 3}0.556{col 60}{space 4}-.2063837{col 73}{space 3} .3839013
{txt}{space 7}1.highdemoc {c |}{col 20}{res}{space 2}-.1696882{col 32}{space 2} .1413894{col 43}{space 1}   -1.20{col 52}{space 3}0.230{col 60}{space 4}-.4468062{col 73}{space 3} .1074299
{txt}{space 18} {c |}
smlmegip#highdemoc {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} .6378969{col 32}{space 2} .2828598{col 43}{space 1}    2.26{col 52}{space 3}0.024{col 60}{space 4} .0835018{col 73}{space 3} 1.192292
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.778481{col 32}{space 2} .1014041{col 43}{space 1}  -17.54{col 52}{space 3}0.000{col 60}{space 4}-1.977229{col 73}{space 3}-1.579733
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela5-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela5-x.doc"'"':modela5-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela5-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip + [civicnrt1]1.highdemoc + [civicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .5569675{col 26}{space 2} .2617472{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0439524{col 67}{space 3} 1.069983
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    32,495{col 27}-5486.549{col 38}-5360.165{col 49}     4{col 58} 10728.33{col 69} 10761.89
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip##i.highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig150==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4541.7532}  
Iteration 1:{space 3}log pseudolikelihood = {res:-749.95502}  
Iteration 2:{space 3}log pseudolikelihood = {res:-689.31706}  
Iteration 3:{space 3}log pseudolikelihood = {res: -625.7638}  
Iteration 4:{space 3}log pseudolikelihood = {res:-622.59573}  
Iteration 5:{space 3}log pseudolikelihood = {res:-621.67171}  
Iteration 6:{space 3}log pseudolikelihood = {res:-621.66593}  
Iteration 7:{space 3}log pseudolikelihood = {res:-621.66593}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    27,820
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   1896.63
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-621.66593{txt}{col 49}Pseudo R2{col 67}= {res}    0.8631

{txt}{ralign 86:(Std. Err. adjusted for {res:780} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           civicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.smlmegip {c |}{col 22}{res}{space 2}-.0195969{col 34}{space 2} .1056878{col 45}{space 1}   -0.19{col 54}{space 3}0.853{col 62}{space 4}-.2267411{col 75}{space 3} .1875473
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}-.0619015{col 34}{space 2} .1516961{col 45}{space 1}   -0.41{col 54}{space 3}0.683{col 62}{space 4}-.3592204{col 75}{space 3} .2354173
{txt}{space 20} {c |}
{space 2}smlmegip#highdemoc {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}  .517453{col 34}{space 2} .2013835{col 45}{space 1}    2.57{col 54}{space 3}0.010{col 62}{space 4} .1227485{col 75}{space 3} .9121575
{txt}{space 20} {c |}
{space 13}unrest1 {c |}{col 22}{res}{space 2} .0054517{col 34}{space 2} .0075907{col 45}{space 1}    0.72{col 54}{space 3}0.473{col 62}{space 4}-.0094259{col 75}{space 3} .0203292
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} .2108371{col 34}{space 2} .1864667{col 45}{space 1}    1.13{col 54}{space 3}0.258{col 62}{space 4} -.154631{col 75}{space 3} .5763052
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .0804423{col 34}{space 2} .0417849{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4}-.0014547{col 75}{space 3} .1623393
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .0897951{col 34}{space 2} .0931213{col 45}{space 1}    0.96{col 54}{space 3}0.335{col 62}{space 4}-.0927193{col 75}{space 3} .2723096
{txt}{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0910516{col 34}{space 2} .1348402{col 45}{space 1}    0.68{col 54}{space 3}0.500{col 62}{space 4}-.1732303{col 75}{space 3} .3553335
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.3508521{col 34}{space 2}  .233646{col 45}{space 1}   -1.50{col 54}{space 3}0.133{col 62}{space 4}-.8087899{col 75}{space 3} .1070858
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}-.4933596{col 34}{space 2} .1179341{col 45}{space 1}   -4.18{col 54}{space 3}0.000{col 62}{space 4}-.7245061{col 75}{space 3} -.262213
{txt}{space 9}NonCNRyrst1 {c |}{col 22}{res}{space 2}-.3115951{col 34}{space 2} .0358812{col 45}{space 1}   -8.68{col 54}{space 3}0.000{col 62}{space 4}-.3819209{col 75}{space 3}-.2412693
{txt}{space 8}NonCNRyrs2t1 {c |}{col 22}{res}{space 2} .0130056{col 34}{space 2} .0024626{col 45}{space 1}    5.28{col 54}{space 3}0.000{col 62}{space 4}  .008179{col 75}{space 3} .0178322
{txt}{space 8}NonCNRyrs3t1 {c |}{col 22}{res}{space 2}-.0001587{col 34}{space 2} .0000425{col 45}{space 1}   -3.73{col 54}{space 3}0.000{col 62}{space 4} -.000242{col 75}{space 3}-.0000754
{txt}{space 12}CNRyrst1 {c |}{col 22}{res}{space 2} .5504839{col 34}{space 2} .0411886{col 45}{space 1}   13.36{col 54}{space 3}0.000{col 62}{space 4} .4697558{col 75}{space 3}  .631212
{txt}{space 11}CNRyrs2t1 {c |}{col 22}{res}{space 2}-.0253606{col 34}{space 2} .0029949{col 45}{space 1}   -8.47{col 54}{space 3}0.000{col 62}{space 4}-.0312306{col 75}{space 3}-.0194907
{txt}{space 11}CNRyrs3t1 {c |}{col 22}{res}{space 2} .0003253{col 34}{space 2} .0000532{col 45}{space 1}    6.12{col 54}{space 3}0.000{col 62}{space 4} .0002211{col 75}{space 3} .0004296
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.9784719{col 34}{space 2} .1464884{col 45}{space 1}   -6.68{col 54}{space 3}0.000{col 62}{space 4}-1.265584{col 75}{space 3}  -.69136
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1273 failures and 15 successes completely determined.{p_end}

{com}. outreg2 using modela5-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela5-x.doc"'"':modela5-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela5-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip + [civicnrt1]1.highdemoc + [civicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4359545{col 26}{space 2} .1762594{col 37}{space 1}    2.47{col 46}{space 3}0.013{col 54}{space 4} .0904925{col 67}{space 3} .7814166
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    27,820{col 27}-4541.753{col 38}-621.6659{col 49}    17{col 58} 1277.332{col 69} 1417.302
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip highdemoc, cluster(dyadid), if Contig150==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -2339.397}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2266.9627}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2265.7624}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2265.7621}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2265.7621}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     8,315
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      6.31
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0427
{txt}Log pseudolikelihood = {res}-2265.7621{txt}{col 49}Pseudo R2{col 67}= {res}    0.0315

{txt}{ralign 78:(Std. Err. adjusted for {res:265} clusters in dyadid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2}-.1959733{col 26}{space 2} .2159935{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}-.6193128{col 67}{space 3} .2273663
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2}-.5844804{col 26}{space 2} .2424234{col 37}{space 1}   -2.41{col 46}{space 3}0.016{col 54}{space 4}-1.059621{col 67}{space 3}-.1093393
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.201651{col 26}{space 2} .1454459{col 37}{space 1}   -8.26{col 46}{space 3}0.000{col 54}{space 4} -1.48672{col 67}{space 3}-.9165825
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela6-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela6-x.doc"'"':modela6-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela6-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     8,315{col 27}-2339.397{col 38}-2265.762{col 49}     3{col 58} 4537.524{col 69} 4558.602
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig150==1 & tektarget_d1==1 & year>=1950

{txt}note: 1.highdemoc omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1798.746}  
Iteration 1:{space 3}log pseudolikelihood = {res:-364.47934}  
Iteration 2:{space 3}log pseudolikelihood = {res:-327.38521}  
Iteration 3:{space 3}log pseudolikelihood = {res: -313.7564}  
Iteration 4:{space 3}log pseudolikelihood = {res:-312.89637}  
Iteration 5:{space 3}log pseudolikelihood = {res:-312.88905}  
Iteration 6:{space 3}log pseudolikelihood = {res:-312.88905}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,036
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1877.61
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-312.88905{txt}{col 49}Pseudo R2{col 67}= {res}    0.8261

{txt}{ralign 86:(Std. Err. adjusted for {res:246} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          ethnicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}smlmegip {c |}{col 22}{res}{space 2}-.0282792{col 34}{space 2} .1230216{col 45}{space 1}   -0.23{col 54}{space 3}0.818{col 62}{space 4} -.269397{col 75}{space 3} .2128386
{txt}{space 11}highdemoc {c |}{col 22}{res}{space 2} .0798859{col 34}{space 2} .1975963{col 45}{space 1}    0.40{col 54}{space 3}0.686{col 62}{space 4}-.3073957{col 75}{space 3} .4671676
{txt}{space 13}unrest1 {c |}{col 22}{res}{space 2}-.0214079{col 34}{space 2} .0187369{col 45}{space 1}   -1.14{col 54}{space 3}0.253{col 62}{space 4}-.0581315{col 75}{space 3} .0153156
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} .0241022{col 34}{space 2} .2177077{col 45}{space 1}    0.11{col 54}{space 3}0.912{col 62}{space 4} -.402597{col 75}{space 3} .4508014
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1029269{col 34}{space 2} .0485012{col 45}{space 1}    2.12{col 54}{space 3}0.034{col 62}{space 4} .0078662{col 75}{space 3} .1979876
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .1814472{col 34}{space 2} .1228135{col 45}{space 1}    1.48{col 54}{space 3}0.140{col 62}{space 4}-.0592628{col 75}{space 3} .4221573
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0558765{col 34}{space 2} .1826283{col 45}{space 1}    0.31{col 54}{space 3}0.760{col 62}{space 4}-.3020684{col 75}{space 3} .4138214
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.4360163{col 34}{space 2} .2453687{col 45}{space 1}   -1.78{col 54}{space 3}0.076{col 62}{space 4}-.9169302{col 75}{space 3} .0448976
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}-.2902545{col 34}{space 2} .1500218{col 45}{space 1}   -1.93{col 54}{space 3}0.053{col 62}{space 4}-.5842918{col 75}{space 3} .0037828
{txt}{space 9}NonENRyrst1 {c |}{col 22}{res}{space 2}-.3265718{col 34}{space 2} .0548965{col 45}{space 1}   -5.95{col 54}{space 3}0.000{col 62}{space 4}-.4341669{col 75}{space 3}-.2189767
{txt}{space 8}NonENRyrs2t1 {c |}{col 22}{res}{space 2} .0137653{col 34}{space 2} .0035398{col 45}{space 1}    3.89{col 54}{space 3}0.000{col 62}{space 4} .0068275{col 75}{space 3} .0207031
{txt}{space 8}NonENRyrs3t1 {c |}{col 22}{res}{space 2}-.0001659{col 34}{space 2} .0000585{col 45}{space 1}   -2.83{col 54}{space 3}0.005{col 62}{space 4}-.0002806{col 75}{space 3}-.0000512
{txt}{space 12}ENRyrst1 {c |}{col 22}{res}{space 2} .4266205{col 34}{space 2}  .060642{col 45}{space 1}    7.04{col 54}{space 3}0.000{col 62}{space 4} .3077644{col 75}{space 3} .5454765
{txt}{space 11}ENRyrs2t1 {c |}{col 22}{res}{space 2}-.0182844{col 34}{space 2} .0042188{col 45}{space 1}   -4.33{col 54}{space 3}0.000{col 62}{space 4}-.0265531{col 75}{space 3}-.0100158
{txt}{space 11}ENRyrs3t1 {c |}{col 22}{res}{space 2} .0002253{col 34}{space 2} .0000695{col 45}{space 1}    3.24{col 54}{space 3}0.001{col 62}{space 4} .0000891{col 75}{space 3} .0003615
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.6884885{col 34}{space 2} .1785301{col 45}{space 1}   -3.86{col 54}{space 3}0.000{col 62}{space 4}-1.038401{col 75}{space 3}-.3385759
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 162 failures and 11 successes completely determined.{p_end}

{com}. outreg2 using modela6-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela6-x.doc"'"':modela6-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela6-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,036{col 27}-1798.746{col 38} -312.889{col 49}    16{col 58} 657.7781{col 69} 767.5188
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.highdemoc, cluster(dyadid), if Contig150==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -2339.397}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2263.2398}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2258.0423}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2257.8645}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2257.8641}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2257.8641}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     8,315
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     17.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0005
{txt}Log pseudolikelihood = {res}-2257.8641{txt}{col 49}Pseudo R2{col 67}= {res}    0.0349

{txt}{ralign 84:(Std. Err. adjusted for {res:265} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        ethnicnrt1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.smlmegip {c |}{col 20}{res}{space 2} -.139376{col 32}{space 2} .2339613{col 43}{space 1}   -0.60{col 52}{space 3}0.551{col 60}{space 4}-.5979317{col 73}{space 3} .3191796
{txt}{space 7}1.highdemoc {c |}{col 20}{res}{space 2}-.5082872{col 32}{space 2} .2651823{col 43}{space 1}   -1.92{col 52}{space 3}0.055{col 60}{space 4}-1.028035{col 73}{space 3} .0114605
{txt}{space 18} {c |}
smlmegip#highdemoc {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.7880861{col 32}{space 2} .4049773{col 43}{space 1}   -1.95{col 52}{space 3}0.052{col 60}{space 4}-1.581827{col 73}{space 3} .0056548
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.219678{col 32}{space 2} .1515889{col 43}{space 1}   -8.05{col 52}{space 3}0.000{col 60}{space 4}-1.516787{col 73}{space 3}-.9225696
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela6-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela6-x.doc"'"':modela6-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela6-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.highdemoc + [ethnicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-1.435749{col 26}{space 2} .3554257{col 37}{space 1}   -4.04{col 46}{space 3}0.000{col 54}{space 4}-2.132371{col 67}{space 3}-.7391277
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     8,315{col 27}-2339.397{col 38}-2257.864{col 49}     4{col 58} 4523.728{col 69} 4551.831
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig150==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1798.746}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -363.917}  
Iteration 2:{space 3}log pseudolikelihood = {res: -326.5283}  
Iteration 3:{space 3}log pseudolikelihood = {res: -312.3645}  
Iteration 4:{space 3}log pseudolikelihood = {res:-311.49562}  
Iteration 5:{space 3}log pseudolikelihood = {res:-311.48843}  
Iteration 6:{space 3}log pseudolikelihood = {res:-311.48843}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,036
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2144.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-311.48843{txt}{col 49}Pseudo R2{col 67}= {res}    0.8268

{txt}{ralign 86:(Std. Err. adjusted for {res:246} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          ethnicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.smlmegip {c |}{col 22}{res}{space 2}  .035446{col 34}{space 2} .1327414{col 45}{space 1}    0.27{col 54}{space 3}0.789{col 62}{space 4}-.2247223{col 75}{space 3} .2956144
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2} .1903181{col 34}{space 2} .2143338{col 45}{space 1}    0.89{col 54}{space 3}0.375{col 62}{space 4}-.2297684{col 75}{space 3} .6104046
{txt}{space 20} {c |}
{space 2}smlmegip#highdemoc {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.8323997{col 34}{space 2}  .312554{col 45}{space 1}   -2.66{col 54}{space 3}0.008{col 62}{space 4}-1.444994{col 75}{space 3} -.219805
{txt}{space 20} {c |}
{space 13}unrest1 {c |}{col 22}{res}{space 2}-.0173956{col 34}{space 2} .0213361{col 45}{space 1}   -0.82{col 54}{space 3}0.415{col 62}{space 4}-.0592136{col 75}{space 3} .0244225
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} .0114543{col 34}{space 2} .2207413{col 45}{space 1}    0.05{col 54}{space 3}0.959{col 62}{space 4}-.4211908{col 75}{space 3} .4440993
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .0949341{col 34}{space 2} .0473532{col 45}{space 1}    2.00{col 54}{space 3}0.045{col 62}{space 4} .0021236{col 75}{space 3} .1877445
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .1644349{col 34}{space 2}  .123154{col 45}{space 1}    1.34{col 54}{space 3}0.182{col 62}{space 4}-.0769425{col 75}{space 3} .4058124
{txt}{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0590778{col 34}{space 2} .1839959{col 45}{space 1}    0.32{col 54}{space 3}0.748{col 62}{space 4}-.3015475{col 75}{space 3}  .419703
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.5015856{col 34}{space 2} .2505351{col 45}{space 1}   -2.00{col 54}{space 3}0.045{col 62}{space 4}-.9926253{col 75}{space 3}-.0105459
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}-.2890529{col 34}{space 2} .1472969{col 45}{space 1}   -1.96{col 54}{space 3}0.050{col 62}{space 4}-.5777496{col 75}{space 3}-.0003563
{txt}{space 9}NonENRyrst1 {c |}{col 22}{res}{space 2}-.3245645{col 34}{space 2} .0546973{col 45}{space 1}   -5.93{col 54}{space 3}0.000{col 62}{space 4}-.4317693{col 75}{space 3}-.2173598
{txt}{space 8}NonENRyrs2t1 {c |}{col 22}{res}{space 2}  .013698{col 34}{space 2} .0035502{col 45}{space 1}    3.86{col 54}{space 3}0.000{col 62}{space 4} .0067396{col 75}{space 3} .0206563
{txt}{space 8}NonENRyrs3t1 {c |}{col 22}{res}{space 2}-.0001653{col 34}{space 2} .0000589{col 45}{space 1}   -2.81{col 54}{space 3}0.005{col 62}{space 4}-.0002808{col 75}{space 3}-.0000499
{txt}{space 12}ENRyrst1 {c |}{col 22}{res}{space 2} .4272055{col 34}{space 2} .0602457{col 45}{space 1}    7.09{col 54}{space 3}0.000{col 62}{space 4} .3091261{col 75}{space 3} .5452849
{txt}{space 11}ENRyrs2t1 {c |}{col 22}{res}{space 2}-.0182947{col 34}{space 2} .0041744{col 45}{space 1}   -4.38{col 54}{space 3}0.000{col 62}{space 4}-.0264764{col 75}{space 3}-.0101129
{txt}{space 11}ENRyrs3t1 {c |}{col 22}{res}{space 2} .0002252{col 34}{space 2} .0000686{col 45}{space 1}    3.28{col 54}{space 3}0.001{col 62}{space 4} .0000907{col 75}{space 3} .0003597
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7212195{col 34}{space 2} .1767567{col 45}{space 1}   -4.08{col 54}{space 3}0.000{col 62}{space 4}-1.067656{col 75}{space 3}-.3747829
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 165 failures and 11 successes completely determined.{p_end}

{com}. outreg2 using modela6-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela6-x.doc"'"':modela6-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela6-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.highdemoc + [ethnicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.6066356{col 26}{space 2} .2800137{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-1.155452{col 67}{space 3}-.0578188
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,036{col 27}-1798.746{col 38}-311.4884{col 49}    17{col 58} 656.9769{col 69} 773.5764
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. /* ethno-nationalist models specifying the transborder ethnic members of any senior partners */
. probit ethnicnrt1 smlmegip highdemoc, cluster(dyadid), if Contig==1 & tektargetallsen_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2431.1641}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2361.5761}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2360.3787}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2360.3784}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2360.3784}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,478
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      6.05
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0485
{txt}Log pseudolikelihood = {res}-2360.3784{txt}{col 49}Pseudo R2{col 67}= {res}    0.0291

{txt}{ralign 78:(Std. Err. adjusted for {res:303} clusters in dyadid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2}-.2119699{col 26}{space 2}  .211529{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-.6265591{col 67}{space 3} .2026194
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2}-.5581498{col 26}{space 2}  .238617{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-1.025831{col 67}{space 3}-.0904689
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.274854{col 26}{space 2} .1426443{col 37}{space 1}   -8.94{col 46}{space 3}0.000{col 54}{space 4}-1.554431{col 67}{space 3}-.9952761
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela7-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela7-x.doc"'"':modela7-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela7-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,478{col 27}-2431.164{col 38}-2360.378{col 49}     3{col 58} 4726.757{col 69} 4748.227
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektargetallsen_d1==1 & year>=1950

{txt}note: 1.highdemoc omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1867.4772}  
Iteration 1:{space 3}log pseudolikelihood = {res:-373.39171}  
Iteration 2:{space 3}log pseudolikelihood = {res: -334.1698}  
Iteration 3:{space 3}log pseudolikelihood = {res:-319.42627}  
Iteration 4:{space 3}log pseudolikelihood = {res:-318.50655}  
Iteration 5:{space 3}log pseudolikelihood = {res:-318.49836}  
Iteration 6:{space 3}log pseudolikelihood = {res:-318.49836}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     8,040
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1963.94
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-318.49836{txt}{col 49}Pseudo R2{col 67}= {res}    0.8294

{txt}{ralign 86:(Std. Err. adjusted for {res:282} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          ethnicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}smlmegip {c |}{col 22}{res}{space 2}-.0497146{col 34}{space 2}  .121765{col 45}{space 1}   -0.41{col 54}{space 3}0.683{col 62}{space 4}-.2883696{col 75}{space 3} .1889403
{txt}{space 11}highdemoc {c |}{col 22}{res}{space 2} .0454895{col 34}{space 2} .1964154{col 45}{space 1}    0.23{col 54}{space 3}0.817{col 62}{space 4}-.3394776{col 75}{space 3} .4304566
{txt}{space 13}unrest1 {c |}{col 22}{res}{space 2}-.0210312{col 34}{space 2} .0187072{col 45}{space 1}   -1.12{col 54}{space 3}0.261{col 62}{space 4}-.0576966{col 75}{space 3} .0156342
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2}-.0124446{col 34}{space 2} .2213729{col 45}{space 1}   -0.06{col 54}{space 3}0.955{col 62}{space 4}-.4463275{col 75}{space 3} .4214383
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1077686{col 34}{space 2} .0489383{col 45}{space 1}    2.20{col 54}{space 3}0.028{col 62}{space 4} .0118513{col 75}{space 3} .2036858
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .1813387{col 34}{space 2} .1218093{col 45}{space 1}    1.49{col 54}{space 3}0.137{col 62}{space 4}-.0574032{col 75}{space 3} .4200806
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0422398{col 34}{space 2}  .182036{col 45}{space 1}    0.23{col 54}{space 3}0.817{col 62}{space 4}-.3145442{col 75}{space 3} .3990239
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2} -.397248{col 34}{space 2} .2438289{col 45}{space 1}   -1.63{col 54}{space 3}0.103{col 62}{space 4}-.8751437{col 75}{space 3} .0806478
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}-.2966436{col 34}{space 2} .1530496{col 45}{space 1}   -1.94{col 54}{space 3}0.053{col 62}{space 4}-.5966154{col 75}{space 3} .0033282
{txt}{space 9}NonENRyrst1 {c |}{col 22}{res}{space 2}-.3290249{col 34}{space 2} .0548075{col 45}{space 1}   -6.00{col 54}{space 3}0.000{col 62}{space 4}-.4364457{col 75}{space 3}-.2216042
{txt}{space 8}NonENRyrs2t1 {c |}{col 22}{res}{space 2} .0138815{col 34}{space 2} .0035165{col 45}{space 1}    3.95{col 54}{space 3}0.000{col 62}{space 4} .0069893{col 75}{space 3} .0207738
{txt}{space 8}NonENRyrs3t1 {c |}{col 22}{res}{space 2}-.0001672{col 34}{space 2}  .000058{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-.0002809{col 75}{space 3}-.0000534
{txt}{space 12}ENRyrst1 {c |}{col 22}{res}{space 2} .4369566{col 34}{space 2} .0611291{col 45}{space 1}    7.15{col 54}{space 3}0.000{col 62}{space 4} .3171458{col 75}{space 3} .5567673
{txt}{space 11}ENRyrs2t1 {c |}{col 22}{res}{space 2}-.0187865{col 34}{space 2} .0042691{col 45}{space 1}   -4.40{col 54}{space 3}0.000{col 62}{space 4}-.0271538{col 75}{space 3}-.0104191
{txt}{space 11}ENRyrs3t1 {c |}{col 22}{res}{space 2}  .000232{col 34}{space 2} .0000705{col 45}{space 1}    3.29{col 54}{space 3}0.001{col 62}{space 4} .0000937{col 75}{space 3} .0003702
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} -.714019{col 34}{space 2} .1785696{col 45}{space 1}   -4.00{col 54}{space 3}0.000{col 62}{space 4}-1.064009{col 75}{space 3}-.3640291
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 199 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using modela7-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela7-x.doc"'"':modela7-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela7-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     8,040{col 27}-1867.477{col 38}-318.4984{col 49}    16{col 58} 668.9967{col 69} 780.8717
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.highdemoc, cluster(dyadid), if Contig==1 & tektargetallsen_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2431.1641}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2358.6567}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2353.6936}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2353.5169}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2353.5166}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2353.5166}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,478
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     16.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0009
{txt}Log pseudolikelihood = {res}-2353.5166{txt}{col 49}Pseudo R2{col 67}= {res}    0.0319

{txt}{ralign 84:(Std. Err. adjusted for {res:303} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        ethnicnrt1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.smlmegip {c |}{col 20}{res}{space 2}-.1628318{col 32}{space 2}  .227795{col 43}{space 1}   -0.71{col 52}{space 3}0.475{col 60}{space 4}-.6093018{col 73}{space 3} .2836383
{txt}{space 7}1.highdemoc {c |}{col 20}{res}{space 2}-.4905303{col 32}{space 2} .2599531{col 43}{space 1}   -1.89{col 52}{space 3}0.059{col 60}{space 4}-1.000029{col 73}{space 3} .0189684
{txt}{space 18} {c |}
smlmegip#highdemoc {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.7351292{col 32}{space 2}   .39764{col 43}{space 1}   -1.85{col 52}{space 3}0.064{col 60}{space 4}-1.514489{col 73}{space 3} .0442309
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.290698{col 32}{space 2} .1483448{col 43}{space 1}   -8.70{col 52}{space 3}0.000{col 60}{space 4}-1.581448{col 73}{space 3}-.9999472
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela7-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela7-x.doc"'"':modela7-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela7-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.highdemoc + [ethnicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-1.388491{col 26}{space 2} .3509787{col 37}{space 1}   -3.96{col 46}{space 3}0.000{col 54}{space 4}-2.076397{col 67}{space 3}-.7005856
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,478{col 27}-2431.164{col 38}-2353.517{col 49}     4{col 58} 4715.033{col 69}  4743.66
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektargetallsen_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1867.4772}  
Iteration 1:{space 3}log pseudolikelihood = {res:-372.98279}  
Iteration 2:{space 3}log pseudolikelihood = {res:-333.48368}  
Iteration 3:{space 3}log pseudolikelihood = {res:-318.18764}  
Iteration 4:{space 3}log pseudolikelihood = {res: -317.2498}  
Iteration 5:{space 3}log pseudolikelihood = {res:-317.24151}  
Iteration 6:{space 3}log pseudolikelihood = {res:-317.24151}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     8,040
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2207.05
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-317.24151{txt}{col 49}Pseudo R2{col 67}= {res}    0.8301

{txt}{ralign 86:(Std. Err. adjusted for {res:282} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          ethnicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.smlmegip {c |}{col 22}{res}{space 2} .0074996{col 34}{space 2} .1308002{col 45}{space 1}    0.06{col 54}{space 3}0.954{col 62}{space 4} -.248864{col 75}{space 3} .2638633
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2} .1440847{col 34}{space 2} .2123118{col 45}{space 1}    0.68{col 54}{space 3}0.497{col 62}{space 4}-.2720389{col 75}{space 3} .5602083
{txt}{space 20} {c |}
{space 2}smlmegip#highdemoc {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.7980134{col 34}{space 2} .3123828{col 45}{space 1}   -2.55{col 54}{space 3}0.011{col 62}{space 4}-1.410272{col 75}{space 3}-.1857545
{txt}{space 20} {c |}
{space 13}unrest1 {c |}{col 22}{res}{space 2}-.0181804{col 34}{space 2} .0206692{col 45}{space 1}   -0.88{col 54}{space 3}0.379{col 62}{space 4}-.0586912{col 75}{space 3} .0223305
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2}-.0245016{col 34}{space 2} .2241825{col 45}{space 1}   -0.11{col 54}{space 3}0.913{col 62}{space 4}-.4638912{col 75}{space 3}  .414888
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1002684{col 34}{space 2} .0480009{col 45}{space 1}    2.09{col 54}{space 3}0.037{col 62}{space 4} .0061884{col 75}{space 3} .1943484
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .1668344{col 34}{space 2} .1220507{col 45}{space 1}    1.37{col 54}{space 3}0.172{col 62}{space 4}-.0723805{col 75}{space 3} .4060493
{txt}{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0453565{col 34}{space 2} .1831144{col 45}{space 1}    0.25{col 54}{space 3}0.804{col 62}{space 4}-.3135411{col 75}{space 3} .4042541
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.4543063{col 34}{space 2} .2475758{col 45}{space 1}   -1.84{col 54}{space 3}0.067{col 62}{space 4}-.9395459{col 75}{space 3} .0309333
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2} -.295375{col 34}{space 2} .1507348{col 45}{space 1}   -1.96{col 54}{space 3}0.050{col 62}{space 4}-.5908099{col 75}{space 3} .0000598
{txt}{space 9}NonENRyrst1 {c |}{col 22}{res}{space 2}-.3276747{col 34}{space 2} .0547383{col 45}{space 1}   -5.99{col 54}{space 3}0.000{col 62}{space 4}-.4349598{col 75}{space 3}-.2203895
{txt}{space 8}NonENRyrs2t1 {c |}{col 22}{res}{space 2} .0138458{col 34}{space 2}  .003533{col 45}{space 1}    3.92{col 54}{space 3}0.000{col 62}{space 4} .0069212{col 75}{space 3} .0207704
{txt}{space 8}NonENRyrs3t1 {c |}{col 22}{res}{space 2} -.000167{col 34}{space 2} .0000585{col 45}{space 1}   -2.86{col 54}{space 3}0.004{col 62}{space 4}-.0002816{col 75}{space 3}-.0000524
{txt}{space 12}ENRyrst1 {c |}{col 22}{res}{space 2} .4375006{col 34}{space 2} .0608486{col 45}{space 1}    7.19{col 54}{space 3}0.000{col 62}{space 4} .3182395{col 75}{space 3} .5567617
{txt}{space 11}ENRyrs2t1 {c |}{col 22}{res}{space 2}-.0187959{col 34}{space 2} .0042329{col 45}{space 1}   -4.44{col 54}{space 3}0.000{col 62}{space 4}-.0270921{col 75}{space 3}-.0104996
{txt}{space 11}ENRyrs3t1 {c |}{col 22}{res}{space 2} .0002318{col 34}{space 2} .0000698{col 45}{space 1}    3.32{col 54}{space 3}0.001{col 62}{space 4}  .000095{col 75}{space 3} .0003687
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7435614{col 34}{space 2} .1773624{col 45}{space 1}   -4.19{col 54}{space 3}0.000{col 62}{space 4}-1.091185{col 75}{space 3}-.3959374
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 202 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using modela7-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela7-x.doc"'"':modela7-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela7-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.highdemoc + [ethnicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.6464291{col 26}{space 2} .2808566{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4}-1.196898{col 67}{space 3}-.0959602
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     8,040{col 27}-1867.477{col 38}-317.2415{col 49}    17{col 58}  668.483{col 69} 787.3501
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. /* major power targets included */
. probit civicnrt1 smlmegip highdemoc unrest1 majpow1 majpow2 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{txt}note: 1.highdemoc omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-795.88629}  
Iteration 2:{space 3}log pseudolikelihood = {res:-736.61077}  
Iteration 3:{space 3}log pseudolikelihood = {res:-666.27539}  
Iteration 4:{space 3}log pseudolikelihood = {res:-663.57174}  
Iteration 5:{space 3}log pseudolikelihood = {res: -663.4404}  
Iteration 6:{space 3}log pseudolikelihood = {res:-663.43999}  
Iteration 7:{space 3}log pseudolikelihood = {res:-663.43999}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2059.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-663.43999{txt}{col 49}Pseudo R2{col 67}= {res}    0.8641

{txt}{ralign 86:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           civicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}smlmegip {c |}{col 22}{res}{space 2}  .117341{col 34}{space 2} .0980238{col 45}{space 1}    1.20{col 54}{space 3}0.231{col 62}{space 4}-.0747822{col 75}{space 3} .3094642
{txt}{space 11}highdemoc {c |}{col 22}{res}{space 2} .0892512{col 34}{space 2} .1341432{col 45}{space 1}    0.67{col 54}{space 3}0.506{col 62}{space 4}-.1736646{col 75}{space 3}  .352167
{txt}{space 13}unrest1 {c |}{col 22}{res}{space 2} .0070142{col 34}{space 2} .0070633{col 45}{space 1}    0.99{col 54}{space 3}0.321{col 62}{space 4}-.0068296{col 75}{space 3} .0208581
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} .1266068{col 34}{space 2} .1771888{col 45}{space 1}    0.71{col 54}{space 3}0.475{col 62}{space 4}-.2206769{col 75}{space 3} .4738905
{txt}{space 13}majpow2 {c |}{col 22}{res}{space 2} .0516009{col 34}{space 2} .1501065{col 45}{space 1}    0.34{col 54}{space 3}0.731{col 62}{space 4}-.2426024{col 75}{space 3} .3458042
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1008782{col 34}{space 2} .0414355{col 45}{space 1}    2.43{col 54}{space 3}0.015{col 62}{space 4} .0196662{col 75}{space 3} .1820903
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .0960694{col 34}{space 2} .0900779{col 45}{space 1}    1.07{col 54}{space 3}0.286{col 62}{space 4}  -.08048{col 75}{space 3} .2726188
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0672609{col 34}{space 2} .1366484{col 45}{space 1}    0.49{col 54}{space 3}0.623{col 62}{space 4}-.2005649{col 75}{space 3} .3350868
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.5325269{col 34}{space 2} .2246424{col 45}{space 1}   -2.37{col 54}{space 3}0.018{col 62}{space 4} -.972818{col 75}{space 3}-.0922359
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2} .0588261{col 34}{space 2} .0253683{col 45}{space 1}    2.32{col 54}{space 3}0.020{col 62}{space 4} .0091052{col 75}{space 3} .1085471
{txt}{space 9}NonCNRyrst1 {c |}{col 22}{res}{space 2}-.3197993{col 34}{space 2} .0322535{col 45}{space 1}   -9.92{col 54}{space 3}0.000{col 62}{space 4} -.383015{col 75}{space 3}-.2565836
{txt}{space 8}NonCNRyrs2t1 {c |}{col 22}{res}{space 2} .0131888{col 34}{space 2}  .002092{col 45}{space 1}    6.30{col 54}{space 3}0.000{col 62}{space 4} .0090887{col 75}{space 3}  .017289
{txt}{space 8}NonCNRyrs3t1 {c |}{col 22}{res}{space 2}-.0001581{col 34}{space 2}  .000035{col 45}{space 1}   -4.52{col 54}{space 3}0.000{col 62}{space 4}-.0002267{col 75}{space 3}-.0000896
{txt}{space 12}CNRyrst1 {c |}{col 22}{res}{space 2} .5435023{col 34}{space 2} .0397005{col 45}{space 1}   13.69{col 54}{space 3}0.000{col 62}{space 4} .4656908{col 75}{space 3} .6213138
{txt}{space 11}CNRyrs2t1 {c |}{col 22}{res}{space 2}-.0246239{col 34}{space 2} .0030842{col 45}{space 1}   -7.98{col 54}{space 3}0.000{col 62}{space 4}-.0306689{col 75}{space 3}-.0185789
{txt}{space 11}CNRyrs3t1 {c |}{col 22}{res}{space 2} .0003108{col 34}{space 2} .0000567{col 45}{space 1}    5.48{col 54}{space 3}0.000{col 62}{space 4} .0001997{col 75}{space 3} .0004219
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.061458{col 34}{space 2} .1447195{col 45}{space 1}   -7.33{col 54}{space 3}0.000{col 62}{space 4}-1.345103{col 75}{space 3}-.7778133
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1307 failures and 21 successes completely determined.{p_end}

{com}. outreg2 using modela8-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela8-x.doc"'"':modela8-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela8-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}  -663.44{col 49}    17{col 58}  1360.88{col 69} 1504.734
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 i.smlmegip##i.highdemoc unrest1 majpow1 majpow2 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-794.85263}  
Iteration 2:{space 3}log pseudolikelihood = {res:-732.17276}  
Iteration 3:{space 3}log pseudolikelihood = {res:-663.40111}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -660.638}  
Iteration 5:{space 3}log pseudolikelihood = {res:-660.50153}  
Iteration 6:{space 3}log pseudolikelihood = {res:-660.50111}  
Iteration 7:{space 3}log pseudolikelihood = {res:-660.50111}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   2067.72
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-660.50111{txt}{col 49}Pseudo R2{col 67}= {res}    0.8647

{txt}{ralign 86:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           civicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.smlmegip {c |}{col 22}{res}{space 2} .0224944{col 34}{space 2} .1086784{col 45}{space 1}    0.21{col 54}{space 3}0.836{col 62}{space 4}-.1905113{col 75}{space 3} .2355002
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2} -.061913{col 34}{space 2} .1583935{col 45}{space 1}   -0.39{col 54}{space 3}0.696{col 62}{space 4}-.3723585{col 75}{space 3} .2485325
{txt}{space 20} {c |}
{space 2}smlmegip#highdemoc {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2} .4546891{col 34}{space 2} .2062658{col 45}{space 1}    2.20{col 54}{space 3}0.027{col 62}{space 4} .0504156{col 75}{space 3} .8589626
{txt}{space 20} {c |}
{space 13}unrest1 {c |}{col 22}{res}{space 2} .0021289{col 34}{space 2} .0080607{col 45}{space 1}    0.26{col 54}{space 3}0.792{col 62}{space 4}-.0136698{col 75}{space 3} .0179277
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} .1428583{col 34}{space 2} .1752191{col 45}{space 1}    0.82{col 54}{space 3}0.415{col 62}{space 4}-.2005649{col 75}{space 3} .4862815
{txt}{space 13}majpow2 {c |}{col 22}{res}{space 2}  .032378{col 34}{space 2} .1510016{col 45}{space 1}    0.21{col 54}{space 3}0.830{col 62}{space 4}-.2635797{col 75}{space 3} .3283357
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1010522{col 34}{space 2}  .043131{col 45}{space 1}    2.34{col 54}{space 3}0.019{col 62}{space 4}  .016517{col 75}{space 3} .1855874
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .0878127{col 34}{space 2} .0909921{col 45}{space 1}    0.97{col 54}{space 3}0.335{col 62}{space 4}-.0905286{col 75}{space 3} .2661539
{txt}{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0520221{col 34}{space 2} .1353821{col 45}{space 1}    0.38{col 54}{space 3}0.701{col 62}{space 4}-.2133219{col 75}{space 3} .3173661
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.4335708{col 34}{space 2} .2316407{col 45}{space 1}   -1.87{col 54}{space 3}0.061{col 62}{space 4}-.8875781{col 75}{space 3} .0204366
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2} .0592332{col 34}{space 2} .0240058{col 45}{space 1}    2.47{col 54}{space 3}0.014{col 62}{space 4} .0121828{col 75}{space 3} .1062837
{txt}{space 9}NonCNRyrst1 {c |}{col 22}{res}{space 2}-.3196229{col 34}{space 2} .0324742{col 45}{space 1}   -9.84{col 54}{space 3}0.000{col 62}{space 4}-.3832712{col 75}{space 3}-.2559745
{txt}{space 8}NonCNRyrs2t1 {c |}{col 22}{res}{space 2} .0131739{col 34}{space 2} .0021054{col 45}{space 1}    6.26{col 54}{space 3}0.000{col 62}{space 4} .0090473{col 75}{space 3} .0173005
{txt}{space 8}NonCNRyrs3t1 {c |}{col 22}{res}{space 2}-.0001579{col 34}{space 2} .0000352{col 45}{space 1}   -4.49{col 54}{space 3}0.000{col 62}{space 4}-.0002269{col 75}{space 3} -.000089
{txt}{space 12}CNRyrst1 {c |}{col 22}{res}{space 2} .5451687{col 34}{space 2} .0401081{col 45}{space 1}   13.59{col 54}{space 3}0.000{col 62}{space 4} .4665582{col 75}{space 3} .6237791
{txt}{space 11}CNRyrs2t1 {c |}{col 22}{res}{space 2}-.0247045{col 34}{space 2} .0031286{col 45}{space 1}   -7.90{col 54}{space 3}0.000{col 62}{space 4}-.0308365{col 75}{space 3}-.0185725
{txt}{space 11}CNRyrs3t1 {c |}{col 22}{res}{space 2} .0003117{col 34}{space 2} .0000574{col 45}{space 1}    5.43{col 54}{space 3}0.000{col 62}{space 4} .0001992{col 75}{space 3} .0004242
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.008282{col 34}{space 2}   .14679{col 45}{space 1}   -6.87{col 54}{space 3}0.000{col 62}{space 4}-1.295985{col 75}{space 3}-.7205788
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1311 failures and 22 successes completely determined.{p_end}

{com}. outreg2 using modela8-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela8-x.doc"'"':modela8-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela8-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnrt1]1.smlmegip + [civicnrt1]1.highdemoc + [civicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4152706{col 26}{space 2} .1737987{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} .0746314{col 67}{space 3} .7559097
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}-660.5011{col 49}    18{col 58} 1357.002{col 69} 1509.319
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegip highdemoc unrest1 majpow1 majpow2 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{txt}note: 1.highdemoc omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1849.9727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-370.57145}  
Iteration 2:{space 3}log pseudolikelihood = {res:-331.27118}  
Iteration 3:{space 3}log pseudolikelihood = {res:-315.56229}  
Iteration 4:{space 3}log pseudolikelihood = {res: -313.7417}  
Iteration 5:{space 3}log pseudolikelihood = {res:-313.61068}  
Iteration 6:{space 3}log pseudolikelihood = {res:-313.61024}  
Iteration 7:{space 3}log pseudolikelihood = {res:-313.61024}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,771
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2652.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-313.61024{txt}{col 49}Pseudo R2{col 67}= {res}    0.8305

{txt}{ralign 86:(Std. Err. adjusted for {res:269} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          ethnicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}smlmegip {c |}{col 22}{res}{space 2}-.0214519{col 34}{space 2} .1231549{col 45}{space 1}   -0.17{col 54}{space 3}0.862{col 62}{space 4}-.2628312{col 75}{space 3} .2199273
{txt}{space 11}highdemoc {c |}{col 22}{res}{space 2} .0755731{col 34}{space 2} .1988266{col 45}{space 1}    0.38{col 54}{space 3}0.704{col 62}{space 4}-.3141199{col 75}{space 3} .4652661
{txt}{space 13}unrest1 {c |}{col 22}{res}{space 2}-.0182784{col 34}{space 2} .0177108{col 45}{space 1}   -1.03{col 54}{space 3}0.302{col 62}{space 4}-.0529909{col 75}{space 3} .0164341
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} -.081929{col 34}{space 2} .2371032{col 45}{space 1}   -0.35{col 54}{space 3}0.730{col 62}{space 4}-.5466427{col 75}{space 3} .3827846
{txt}{space 13}majpow2 {c |}{col 22}{res}{space 2} -1.65861{col 34}{space 2} .3162288{col 45}{space 1}   -5.24{col 54}{space 3}0.000{col 62}{space 4}-2.278407{col 75}{space 3}-1.038813
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .0728759{col 34}{space 2} .0576156{col 45}{space 1}    1.26{col 54}{space 3}0.206{col 62}{space 4}-.0400485{col 75}{space 3} .1858003
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .1491197{col 34}{space 2} .1239496{col 45}{space 1}    1.20{col 54}{space 3}0.229{col 62}{space 4}-.0938171{col 75}{space 3} .3920565
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2}-.0066934{col 34}{space 2} .1917325{col 45}{space 1}   -0.03{col 54}{space 3}0.972{col 62}{space 4}-.3824821{col 75}{space 3} .3690953
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2} -.417036{col 34}{space 2} .2456569{col 45}{space 1}   -1.70{col 54}{space 3}0.090{col 62}{space 4}-.8985148{col 75}{space 3} .0644428
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}-.3047265{col 34}{space 2} .1762818{col 45}{space 1}   -1.73{col 54}{space 3}0.084{col 62}{space 4}-.6502325{col 75}{space 3} .0407795
{txt}{space 9}NonENRyrst1 {c |}{col 22}{res}{space 2} -.330639{col 34}{space 2}  .054455{col 45}{space 1}   -6.07{col 54}{space 3}0.000{col 62}{space 4}-.4373688{col 75}{space 3}-.2239092
{txt}{space 8}NonENRyrs2t1 {c |}{col 22}{res}{space 2}  .013943{col 34}{space 2} .0034847{col 45}{space 1}    4.00{col 54}{space 3}0.000{col 62}{space 4} .0071132{col 75}{space 3} .0207728
{txt}{space 8}NonENRyrs3t1 {c |}{col 22}{res}{space 2}-.0001679{col 34}{space 2} .0000575{col 45}{space 1}   -2.92{col 54}{space 3}0.003{col 62}{space 4}-.0002806{col 75}{space 3}-.0000552
{txt}{space 12}ENRyrst1 {c |}{col 22}{res}{space 2} .4242427{col 34}{space 2} .0634448{col 45}{space 1}    6.69{col 54}{space 3}0.000{col 62}{space 4} .2998931{col 75}{space 3} .5485923
{txt}{space 11}ENRyrs2t1 {c |}{col 22}{res}{space 2}-.0181075{col 34}{space 2}  .004571{col 45}{space 1}   -3.96{col 54}{space 3}0.000{col 62}{space 4}-.0270665{col 75}{space 3}-.0091485
{txt}{space 11}ENRyrs3t1 {c |}{col 22}{res}{space 2} .0002247{col 34}{space 2} .0000772{col 45}{space 1}    2.91{col 54}{space 3}0.004{col 62}{space 4} .0000734{col 75}{space 3} .0003761
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7038184{col 34}{space 2} .1806823{col 45}{space 1}   -3.90{col 54}{space 3}0.000{col 62}{space 4}-1.057949{col 75}{space 3}-.3496875
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 256 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using modela8-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela8-x.doc"'"':modela8-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela8-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,771{col 27}-1849.973{col 38}-313.6102{col 49}    17{col 58} 661.2205{col 69} 779.5091
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 i.smlmegip##i.highdemoc unrest1 majpow1 majpow2 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1849.9727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-369.99919}  
Iteration 2:{space 3}log pseudolikelihood = {res: -330.3831}  
Iteration 3:{space 3}log pseudolikelihood = {res:-314.11546}  
Iteration 4:{space 3}log pseudolikelihood = {res:-312.24496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-312.10554}  
Iteration 6:{space 3}log pseudolikelihood = {res: -312.1049}  
Iteration 7:{space 3}log pseudolikelihood = {res: -312.1049}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,771
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   2775.37
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -312.1049{txt}{col 49}Pseudo R2{col 67}= {res}    0.8313

{txt}{ralign 86:(Std. Err. adjusted for {res:269} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          ethnicnrt1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.smlmegip {c |}{col 22}{res}{space 2} .0436234{col 34}{space 2} .1332588{col 45}{space 1}    0.33{col 54}{space 3}0.743{col 62}{space 4} -.217559{col 75}{space 3} .3048058
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}  .194522{col 34}{space 2} .2158952{col 45}{space 1}    0.90{col 54}{space 3}0.368{col 62}{space 4}-.2286248{col 75}{space 3} .6176687
{txt}{space 20} {c |}
{space 2}smlmegip#highdemoc {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.8575444{col 34}{space 2} .3203564{col 45}{space 1}   -2.68{col 54}{space 3}0.007{col 62}{space 4}-1.485431{col 75}{space 3}-.2296574
{txt}{space 20} {c |}
{space 13}unrest1 {c |}{col 22}{res}{space 2}-.0133716{col 34}{space 2}  .021164{col 45}{space 1}   -0.63{col 54}{space 3}0.528{col 62}{space 4}-.0548524{col 75}{space 3} .0281091
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2}-.1000687{col 34}{space 2} .2417232{col 45}{space 1}   -0.41{col 54}{space 3}0.679{col 62}{space 4}-.5738375{col 75}{space 3} .3737002
{txt}{space 13}majpow2 {c |}{col 22}{res}{space 2}-1.719684{col 34}{space 2} .3184901{col 45}{space 1}   -5.40{col 54}{space 3}0.000{col 62}{space 4}-2.343914{col 75}{space 3}-1.095455
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .0628681{col 34}{space 2} .0573531{col 45}{space 1}    1.10{col 54}{space 3}0.273{col 62}{space 4}-.0495418{col 75}{space 3}  .175278
{txt}{space 12}alliance {c |}{col 22}{res}{space 2} .1310559{col 34}{space 2} .1248444{col 45}{space 1}    1.05{col 54}{space 3}0.294{col 62}{space 4}-.1136346{col 75}{space 3} .3757464
{txt}{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2}-.0056658{col 34}{space 2} .1937844{col 45}{space 1}   -0.03{col 54}{space 3}0.977{col 62}{space 4}-.3854762{col 75}{space 3} .3741447
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.4905586{col 34}{space 2} .2508057{col 45}{space 1}   -1.96{col 54}{space 3}0.050{col 62}{space 4}-.9821288{col 75}{space 3} .0010116
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2}-.3039188{col 34}{space 2} .1736828{col 45}{space 1}   -1.75{col 54}{space 3}0.080{col 62}{space 4}-.6443308{col 75}{space 3} .0364932
{txt}{space 9}NonENRyrst1 {c |}{col 22}{res}{space 2}-.3291245{col 34}{space 2} .0543536{col 45}{space 1}   -6.06{col 54}{space 3}0.000{col 62}{space 4}-.4356555{col 75}{space 3}-.2225934
{txt}{space 8}NonENRyrs2t1 {c |}{col 22}{res}{space 2} .0139065{col 34}{space 2}  .003502{col 45}{space 1}    3.97{col 54}{space 3}0.000{col 62}{space 4} .0070427{col 75}{space 3} .0207702
{txt}{space 8}NonENRyrs3t1 {c |}{col 22}{res}{space 2}-.0001678{col 34}{space 2}  .000058{col 45}{space 1}   -2.89{col 54}{space 3}0.004{col 62}{space 4}-.0002814{col 75}{space 3}-.0000541
{txt}{space 12}ENRyrst1 {c |}{col 22}{res}{space 2}  .424583{col 34}{space 2} .0631312{col 45}{space 1}    6.73{col 54}{space 3}0.000{col 62}{space 4} .3008482{col 75}{space 3} .5483178
{txt}{space 11}ENRyrs2t1 {c |}{col 22}{res}{space 2}-.0181047{col 34}{space 2} .0045331{col 45}{space 1}   -3.99{col 54}{space 3}0.000{col 62}{space 4}-.0269895{col 75}{space 3}-.0092199
{txt}{space 11}ENRyrs3t1 {c |}{col 22}{res}{space 2} .0002245{col 34}{space 2} .0000764{col 45}{space 1}    2.94{col 54}{space 3}0.003{col 62}{space 4} .0000747{col 75}{space 3} .0003743
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7387849{col 34}{space 2} .1793901{col 45}{space 1}   -4.12{col 54}{space 3}0.000{col 62}{space 4}-1.090383{col 75}{space 3}-.3871867
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 268 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using modela8-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela8-x.doc"'"':modela8-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela8-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ethnicnrt1]1.smlmegip + [ethnicnrt1]1.highdemoc + [ethnicnrt1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.619399{col 26}{space 2} .2870387{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-1.181985{col 67}{space 3}-.0568134
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,771{col 27}-1849.973{col 38}-312.1049{col 49}    18{col 58} 660.2098{col 69} 785.4566
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. 
. /* additive interaction models */
. set more off
{txt}
{com}. probit civicnrt1 smlmegiplowdemoc lrgmegiphighdemoc lrgmegiplowdemoc, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5885.9139}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5742.3859}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5733.5487}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -5733.53}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -5733.53}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    41,030
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     11.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0083
{txt}Log pseudolikelihood = {res}  -5733.53{txt}{col 49}Pseudo R2{col 67}= {res}    0.0259

{txt}{ralign 83:(Std. Err. adjusted for {res:1,069} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        civicnrt1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}smlmegiplowdemoc {c |}{col 19}{res}{space 2}-.4332712{col 31}{space 2} .2571675{col 42}{space 1}   -1.68{col 51}{space 3}0.092{col 59}{space 4}-.9373103{col 72}{space 3} .0707678
{txt}lrgmegiphighdemoc {c |}{col 19}{res}{space 2}  -.75299{col 31}{space 2} .2416146{col 42}{space 1}   -3.12{col 51}{space 3}0.002{col 59}{space 4}-1.226546{col 72}{space 3}-.2794342
{txt}{space 1}lrgmegiplowdemoc {c |}{col 19}{res}{space 2} -.565886{col 31}{space 2} .2534025{col 42}{space 1}   -2.23{col 51}{space 3}0.026{col 59}{space 4}-1.062546{col 72}{space 3}-.0692262
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.309413{col 31}{space 2} .2344697{col 42}{space 1}   -5.58{col 51}{space 3}0.000{col 59}{space 4}-1.768965{col 72}{space 3}-.8498609
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela9-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela9-x.doc"'"':modela9-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela9-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    41,030{col 27}-5885.914{col 38} -5733.53{col 49}     4{col 58} 11475.06{col 69} 11509.55
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnrt1 smlmegiplowdemoc lrgmegiphighdemoc lrgmegiplowdemoc unrest1 majpow1 lnCapRatio alliance highdemoc2 demodyad2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-794.92428}  
Iteration 2:{space 3}log pseudolikelihood = {res:-732.06632}  
Iteration 3:{space 3}log pseudolikelihood = {res:-663.41764}  
Iteration 4:{space 3}log pseudolikelihood = {res:-660.65943}  
Iteration 5:{space 3}log pseudolikelihood = {res:-660.52318}  
Iteration 6:{space 3}log pseudolikelihood = {res:-660.52277}  
Iteration 7:{space 3}log pseudolikelihood = {res:-660.52277}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   1982.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-660.52277{txt}{col 49}Pseudo R2{col 67}= {res}    0.8647

{txt}{ralign 83:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        civicnrt1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}smlmegiplowdemoc {c |}{col 19}{res}{space 2}-.3960323{col 31}{space 2} .1767366{col 42}{space 1}   -2.24{col 51}{space 3}0.025{col 59}{space 4}-.7424296{col 72}{space 3}-.0496349
{txt}lrgmegiphighdemoc {c |}{col 19}{res}{space 2}-.4776951{col 31}{space 2} .1798501{col 42}{space 1}   -2.66{col 51}{space 3}0.008{col 59}{space 4}-.8301949{col 72}{space 3}-.1251954
{txt}{space 1}lrgmegiplowdemoc {c |}{col 19}{res}{space 2}-.4175828{col 31}{space 2} .1751056{col 42}{space 1}   -2.38{col 51}{space 3}0.017{col 59}{space 4}-.7607835{col 72}{space 3} -.074382
{txt}{space 10}unrest1 {c |}{col 19}{res}{space 2}  .002265{col 31}{space 2} .0079695{col 42}{space 1}    0.28{col 51}{space 3}0.776{col 59}{space 4} -.013355{col 72}{space 3}  .017885
{txt}{space 10}majpow1 {c |}{col 19}{res}{space 2} .1484077{col 31}{space 2} .1799964{col 42}{space 1}    0.82{col 51}{space 3}0.410{col 59}{space 4}-.2043788{col 72}{space 3} .5011942
{txt}{space 7}lnCapRatio {c |}{col 19}{res}{space 2} .1007282{col 31}{space 2} .0430348{col 42}{space 1}    2.34{col 51}{space 3}0.019{col 59}{space 4} .0163814{col 72}{space 3} .1850749
{txt}{space 9}alliance {c |}{col 19}{res}{space 2} .0871493{col 31}{space 2} .0908383{col 42}{space 1}    0.96{col 51}{space 3}0.337{col 59}{space 4}-.0908906{col 72}{space 3} .2651892
{txt}{space 7}highdemoc2 {c |}{col 19}{res}{space 2} .0502196{col 31}{space 2} .1355085{col 42}{space 1}    0.37{col 51}{space 3}0.711{col 59}{space 4}-.2153721{col 72}{space 3} .3158114
{txt}{space 8}demodyad2 {c |}{col 19}{res}{space 2}-.4327521{col 31}{space 2} .2316263{col 42}{space 1}   -1.87{col 51}{space 3}0.062{col 59}{space 4}-.8867313{col 72}{space 3} .0212271
{txt}{space 9}tradedep {c |}{col 19}{res}{space 2}  .060609{col 31}{space 2} .0225428{col 42}{space 1}    2.69{col 51}{space 3}0.007{col 59}{space 4} .0164259{col 72}{space 3} .1047921
{txt}{space 6}NonCNRyrst1 {c |}{col 19}{res}{space 2}-.3194074{col 31}{space 2} .0323339{col 42}{space 1}   -9.88{col 51}{space 3}0.000{col 59}{space 4}-.3827806{col 72}{space 3}-.2560342
{txt}{space 5}NonCNRyrs2t1 {c |}{col 19}{res}{space 2} .0131616{col 31}{space 2} .0020979{col 42}{space 1}    6.27{col 51}{space 3}0.000{col 59}{space 4} .0090498{col 72}{space 3} .0172733
{txt}{space 5}NonCNRyrs3t1 {c |}{col 19}{res}{space 2}-.0001578{col 31}{space 2} .0000351{col 42}{space 1}   -4.50{col 51}{space 3}0.000{col 59}{space 4}-.0002265{col 72}{space 3} -.000089
{txt}{space 9}CNRyrst1 {c |}{col 19}{res}{space 2} .5455503{col 31}{space 2} .0399733{col 42}{space 1}   13.65{col 51}{space 3}0.000{col 59}{space 4} .4672041{col 72}{space 3} .6238966
{txt}{space 8}CNRyrs2t1 {c |}{col 19}{res}{space 2}-.0247239{col 31}{space 2} .0031303{col 42}{space 1}   -7.90{col 51}{space 3}0.000{col 59}{space 4} -.030859{col 72}{space 3}-.0185887
{txt}{space 8}CNRyrs3t1 {c |}{col 19}{res}{space 2} .0003119{col 31}{space 2} .0000575{col 42}{space 1}    5.43{col 51}{space 3}0.000{col 59}{space 4} .0001993{col 72}{space 3} .0004245
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.5901979{col 31}{space 2} .2081946{col 42}{space 1}   -2.83{col 51}{space 3}0.005{col 59}{space 4}-.9982519{col 72}{space 3}-.1821439
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1306 failures and 22 successes completely determined.{p_end}

{com}. outreg2 using modela9-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela9-x.doc"'"':modela9-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela9-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}-660.5228{col 49}    17{col 58} 1355.046{col 69}   1498.9
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegiplowdemoc lrgmegiphighdemoc lrgmegiplowdemoc, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2408.1281}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2339.0941}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2334.4084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2334.2621}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2334.2619}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2334.2619}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     9,171
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     16.38
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0009
{txt}Log pseudolikelihood = {res}-2334.2619{txt}{col 49}Pseudo R2{col 67}= {res}    0.0307

{txt}{ralign 83:(Std. Err. adjusted for {res:289} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       ethnicnrt1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}smlmegiplowdemoc {c |}{col 19}{res}{space 2} 1.254796{col 31}{space 2} .3478934{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} .5729371{col 72}{space 3} 1.936654
{txt}lrgmegiphighdemoc {c |}{col 19}{res}{space 2} .9003685{col 31}{space 2} .3557921{col 42}{space 1}    2.53{col 51}{space 3}0.011{col 59}{space 4} .2030289{col 72}{space 3} 1.597708
{txt}{space 1}lrgmegiplowdemoc {c |}{col 19}{res}{space 2} 1.375039{col 31}{space 2}  .353159{col 42}{space 1}    3.89{col 51}{space 3}0.000{col 59}{space 4} .6828598{col 72}{space 3} 2.067218
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-2.664638{col 31}{space 2} .3458653{col 42}{space 1}   -7.70{col 51}{space 3}0.000{col 59}{space 4}-3.342521{col 72}{space 3}-1.986754
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela9-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela9-x.doc"'"':modela9-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela9-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,171{col 27}-2408.128{col 38}-2334.262{col 49}     4{col 58} 4676.524{col 69} 4705.019
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit ethnicnrt1 smlmegiplowdemoc lrgmegiphighdemoc lrgmegiplowdemoc unrest1 majpow1 lnCapRatio alliance highdemoc2 demodyad2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1849.9727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-370.63046}  
Iteration 2:{space 3}log pseudolikelihood = {res:-331.60512}  
Iteration 3:{space 3}log pseudolikelihood = {res:-316.64267}  
Iteration 4:{space 3}log pseudolikelihood = {res:-315.75424}  
Iteration 5:{space 3}log pseudolikelihood = {res:-315.74679}  
Iteration 6:{space 3}log pseudolikelihood = {res:-315.74679}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     7,771
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   2187.61
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-315.74679{txt}{col 49}Pseudo R2{col 67}= {res}    0.8293

{txt}{ralign 83:(Std. Err. adjusted for {res:269} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       ethnicnrt1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}smlmegiplowdemoc {c |}{col 19}{res}{space 2} .6766866{col 31}{space 2} .2817979{col 42}{space 1}    2.40{col 51}{space 3}0.016{col 59}{space 4} .1243729{col 72}{space 3}    1.229
{txt}lrgmegiphighdemoc {c |}{col 19}{res}{space 2} .8032778{col 31}{space 2}  .296079{col 42}{space 1}    2.71{col 51}{space 3}0.007{col 59}{space 4} .2229736{col 72}{space 3} 1.383582
{txt}{space 1}lrgmegiplowdemoc {c |}{col 19}{res}{space 2} .6477305{col 31}{space 2} .2822979{col 42}{space 1}    2.29{col 51}{space 3}0.022{col 59}{space 4} .0944368{col 72}{space 3} 1.201024
{txt}{space 10}unrest1 {c |}{col 19}{res}{space 2}-.0175504{col 31}{space 2} .0208166{col 42}{space 1}   -0.84{col 51}{space 3}0.399{col 59}{space 4}-.0583503{col 72}{space 3} .0232494
{txt}{space 10}majpow1 {c |}{col 19}{res}{space 2}-.0338852{col 31}{space 2} .2245965{col 42}{space 1}   -0.15{col 51}{space 3}0.880{col 59}{space 4}-.4740863{col 72}{space 3} .4063159
{txt}{space 7}lnCapRatio {c |}{col 19}{res}{space 2} .1016519{col 31}{space 2} .0485024{col 42}{space 1}    2.10{col 51}{space 3}0.036{col 59}{space 4} .0065889{col 72}{space 3} .1967149
{txt}{space 9}alliance {c |}{col 19}{res}{space 2} .1523896{col 31}{space 2} .1236484{col 42}{space 1}    1.23{col 51}{space 3}0.218{col 59}{space 4}-.0899569{col 72}{space 3} .3947361
{txt}{space 7}highdemoc2 {c |}{col 19}{res}{space 2} .0563902{col 31}{space 2} .1856193{col 42}{space 1}    0.30{col 51}{space 3}0.761{col 59}{space 4}-.3074169{col 72}{space 3} .4201973
{txt}{space 8}demodyad2 {c |}{col 19}{res}{space 2}-.4580067{col 31}{space 2} .2474655{col 42}{space 1}   -1.85{col 51}{space 3}0.064{col 59}{space 4}-.9430302{col 72}{space 3} .0270168
{txt}{space 9}tradedep {c |}{col 19}{res}{space 2}-.2931053{col 31}{space 2} .1495744{col 42}{space 1}   -1.96{col 51}{space 3}0.050{col 59}{space 4}-.5862658{col 72}{space 3} .0000552
{txt}{space 6}NonENRyrst1 {c |}{col 19}{res}{space 2}-.3280496{col 31}{space 2} .0546651{col 42}{space 1}   -6.00{col 51}{space 3}0.000{col 59}{space 4}-.4351912{col 72}{space 3} -.220908
{txt}{space 5}NonENRyrs2t1 {c |}{col 19}{res}{space 2} .0138658{col 31}{space 2} .0035343{col 42}{space 1}    3.92{col 51}{space 3}0.000{col 59}{space 4} .0069387{col 72}{space 3} .0207929
{txt}{space 5}NonENRyrs3t1 {c |}{col 19}{res}{space 2}-.0001673{col 31}{space 2} .0000585{col 42}{space 1}   -2.86{col 51}{space 3}0.004{col 59}{space 4} -.000282{col 72}{space 3}-.0000526
{txt}{space 9}ENRyrst1 {c |}{col 19}{res}{space 2}  .434381{col 31}{space 2} .0606026{col 42}{space 1}    7.17{col 51}{space 3}0.000{col 59}{space 4} .3156021{col 72}{space 3} .5531599
{txt}{space 8}ENRyrs2t1 {c |}{col 19}{res}{space 2}-.0186582{col 31}{space 2} .0042124{col 42}{space 1}   -4.43{col 51}{space 3}0.000{col 59}{space 4}-.0269143{col 72}{space 3}-.0104021
{txt}{space 8}ENRyrs3t1 {c |}{col 19}{res}{space 2} .0002301{col 31}{space 2} .0000694{col 42}{space 1}    3.32{col 51}{space 3}0.001{col 59}{space 4} .0000941{col 72}{space 3} .0003661
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -1.37639{col 31}{space 2}  .309387{col 42}{space 1}   -4.45{col 51}{space 3}0.000{col 59}{space 4}-1.982777{col 72}{space 3}-.7700022
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 183 failures and 12 successes completely determined.{p_end}

{com}. outreg2 using modela9-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela9-x.doc"'"':modela9-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela9-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     7,771{col 27}-1849.973{col 38}-315.7468{col 49}    17{col 58} 665.4936{col 69} 783.7822
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. /* rare event logit */
. /* AIC cannot be calculated for rare event logit */
. relogit civicnrt1 smlmegip highdemoc, cluster(dyadid), if Contig==1 & year>=1950
{txt}(5,464 missing values generated)


Corrected logit estimates                             Number of obs ={res}    41030

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2} .7773982{col 26}{space 2} .3458081{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0996269{col 67}{space 3}  1.45517
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2} .0764271{col 26}{space 2} .3625204{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-.6340998{col 67}{space 3} .7869541
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.693445{col 26}{space 2} .2755345{col 37}{space 1}  -13.40{col 46}{space 3}0.000{col 54}{space 4}-4.233483{col 67}{space 3}-3.153408
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela10-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela10-x.doc"'"':modela10-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela10-x.txt""':seeout}

{com}. 
. relogit civicnrt1 smlmegip highdemoc unrest1 majpow1 lnCapRatio alliance highdemoc2 demodyad2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950
{txt}(12,644 missing values generated)


Corrected logit estimates                             Number of obs ={res}    34962

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2} .1430277{col 26}{space 2} .2171964{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4}-.2826695{col 67}{space 3} .5687248
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2} .2717452{col 26}{space 2} .3053786{col 37}{space 1}    0.89{col 46}{space 3}0.374{col 54}{space 4}-.3267858{col 67}{space 3} .8702762
{txt}{space 5}unrest1 {c |}{col 14}{res}{space 2} .0169131{col 26}{space 2}  .019188{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.0206948{col 67}{space 3} .0545209
{txt}{space 5}majpow1 {c |}{col 14}{res}{space 2} .1341915{col 26}{space 2}  .440236{col 37}{space 1}    0.30{col 46}{space 3}0.761{col 54}{space 4}-.7286553{col 67}{space 3} .9970382
{txt}{space 2}lnCapRatio {c |}{col 14}{res}{space 2} .1859987{col 26}{space 2} .0967256{col 37}{space 1}    1.92{col 46}{space 3}0.054{col 54}{space 4}  -.00358{col 67}{space 3} .3755774
{txt}{space 4}alliance {c |}{col 14}{res}{space 2} .3004194{col 26}{space 2}  .200919{col 37}{space 1}    1.50{col 46}{space 3}0.135{col 54}{space 4}-.0933745{col 67}{space 3} .6942134
{txt}{space 2}highdemoc2 {c |}{col 14}{res}{space 2} .1830256{col 26}{space 2} .3001512{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.4052599{col 67}{space 3} .7713112
{txt}{space 3}demodyad2 {c |}{col 14}{res}{space 2}-1.253465{col 26}{space 2} .5004809{col 37}{space 1}   -2.50{col 46}{space 3}0.012{col 54}{space 4} -2.23439{col 67}{space 3}-.2725409
{txt}{space 4}tradedep {c |}{col 14}{res}{space 2} .2072465{col 26}{space 2} .0568288{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4}  .095864{col 67}{space 3}  .318629
{txt}{space 1}NonCNRyrst1 {c |}{col 14}{res}{space 2}-.9725052{col 26}{space 2} .1007459{col 37}{space 1}   -9.65{col 46}{space 3}0.000{col 54}{space 4}-1.169963{col 67}{space 3} -.775047
{txt}NonCNRyrs2t1 {c |}{col 14}{res}{space 2} .0416619{col 26}{space 2} .0068023{col 37}{space 1}    6.12{col 46}{space 3}0.000{col 54}{space 4} .0283297{col 67}{space 3} .0549941
{txt}NonCNRyrs3t1 {c |}{col 14}{res}{space 2}-.0005114{col 26}{space 2} .0001179{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-.0007425{col 67}{space 3}-.0002802
{txt}{space 4}CNRyrst1 {c |}{col 14}{res}{space 2} .9559108{col 26}{space 2} .1213746{col 37}{space 1}    7.88{col 46}{space 3}0.000{col 54}{space 4}  .718021{col 67}{space 3} 1.193801
{txt}{space 3}CNRyrs2t1 {c |}{col 14}{res}{space 2}-.0459713{col 26}{space 2} .0104422{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4}-.0664376{col 67}{space 3}-.0255051
{txt}{space 3}CNRyrs3t1 {c |}{col 14}{res}{space 2} .0006103{col 26}{space 2} .0002063{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .0002059{col 67}{space 3} .0010148
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.287027{col 26}{space 2} .3154507{col 37}{space 1}   -4.08{col 46}{space 3}0.000{col 54}{space 4}-1.905299{col 67}{space 3}-.6687553
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela10-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela10-x.doc"'"':modela10-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela10-x.txt""':seeout}

{com}. 
. relogit civicnrt1 smlmegip highdemoc smlmegiphighdemoc, cluster(dyadid), if Contig==1 & year>=1950
{txt}(5,464 missing values generated)


Corrected logit estimates                             Number of obs ={res}    41030

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        civicnrt1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}smlmegip {c |}{col 19}{res}{space 2} .3034343{col 31}{space 2} .3320732{col 42}{space 1}    0.91{col 51}{space 3}0.361{col 59}{space 4}-.3474171{col 72}{space 3} .9542858
{txt}{space 8}highdemoc {c |}{col 19}{res}{space 2} -.449263{col 31}{space 2} .3210943{col 42}{space 1}   -1.40{col 51}{space 3}0.162{col 59}{space 4}-1.078596{col 72}{space 3} .1800704
{txt}smlmegiphighdemoc {c |}{col 19}{res}{space 2} 1.358292{col 31}{space 2} .5744163{col 42}{space 1}    2.36{col 51}{space 3}0.018{col 59}{space 4} .2324563{col 72}{space 3} 2.484127
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-3.462227{col 31}{space 2} .2243795{col 42}{space 1}  -15.43{col 51}{space 3}0.000{col 59}{space 4}-3.902003{col 72}{space 3}-3.022452
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela10-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela10-x.doc"'"':modela10-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela10-x.txt""':seeout}

{com}. lincom smlmegip+highdemoc+smlmegiphighdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}smlmegip + highdemoc + smlmegiphighdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.212463{col 26}{space 2} .5124192{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .2081398{col 67}{space 3} 2.216786
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. relogit civicnrt1 smlmegip highdemoc smlmegiphighdemoc unrest1 majpow1 lnCapRatio alliance highdemoc2 demodyad2 tradedep NonCNRyrst1 NonCNRyrs2t1 NonCNRyrs3t1 CNRyrst1 CNRyrs2t1 CNRyrs3t1, cluster(dyadid), if Contig==1 & year>=1950
{txt}(12,644 missing values generated)


Corrected logit estimates                             Number of obs ={res}    34962

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        civicnrt1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}smlmegip {c |}{col 19}{res}{space 2}-.0611247{col 31}{space 2}  .240719{col 42}{space 1}   -0.25{col 51}{space 3}0.800{col 59}{space 4}-.5329252{col 72}{space 3} .4106759
{txt}{space 8}highdemoc {c |}{col 19}{res}{space 2}-.0735955{col 31}{space 2}  .374784{col 42}{space 1}   -0.20{col 51}{space 3}0.844{col 59}{space 4}-.8081587{col 72}{space 3} .6609677
{txt}smlmegiphighdemoc {c |}{col 19}{res}{space 2} 1.016558{col 31}{space 2} .4676473{col 42}{space 1}    2.17{col 51}{space 3}0.030{col 59}{space 4} .0999865{col 72}{space 3}  1.93313
{txt}{space 10}unrest1 {c |}{col 19}{res}{space 2} .0032575{col 31}{space 2} .0210994{col 42}{space 1}    0.15{col 51}{space 3}0.877{col 59}{space 4}-.0380966{col 72}{space 3} .0446116
{txt}{space 10}majpow1 {c |}{col 19}{res}{space 2} .1656241{col 31}{space 2} .4394736{col 42}{space 1}    0.38{col 51}{space 3}0.706{col 59}{space 4}-.6957283{col 72}{space 3} 1.026977
{txt}{space 7}lnCapRatio {c |}{col 19}{res}{space 2} .1829699{col 31}{space 2} .1013721{col 42}{space 1}    1.80{col 51}{space 3}0.071{col 59}{space 4}-.0157158{col 72}{space 3} .3816556
{txt}{space 9}alliance {c |}{col 19}{res}{space 2} .2872754{col 31}{space 2} .2015044{col 42}{space 1}    1.43{col 51}{space 3}0.154{col 59}{space 4} -.107666{col 72}{space 3} .6822168
{txt}{space 7}highdemoc2 {c |}{col 19}{res}{space 2} .1529074{col 31}{space 2} .2979667{col 42}{space 1}    0.51{col 51}{space 3}0.608{col 59}{space 4}-.4310967{col 72}{space 3} .7369114
{txt}{space 8}demodyad2 {c |}{col 19}{res}{space 2}-1.012635{col 31}{space 2} .5312151{col 42}{space 1}   -1.91{col 51}{space 3}0.057{col 59}{space 4}-2.053798{col 72}{space 3} .0285273
{txt}{space 9}tradedep {c |}{col 19}{res}{space 2} .2055238{col 31}{space 2} .0537417{col 42}{space 1}    3.82{col 51}{space 3}0.000{col 59}{space 4}  .100192{col 72}{space 3} .3108556
{txt}{space 6}NonCNRyrst1 {c |}{col 19}{res}{space 2}-.9706636{col 31}{space 2} .1008442{col 42}{space 1}   -9.63{col 51}{space 3}0.000{col 59}{space 4}-1.168315{col 72}{space 3}-.7730127
{txt}{space 5}NonCNRyrs2t1 {c |}{col 19}{res}{space 2} .0416062{col 31}{space 2} .0068155{col 42}{space 1}    6.10{col 51}{space 3}0.000{col 59}{space 4} .0282479{col 72}{space 3} .0549644
{txt}{space 5}NonCNRyrs3t1 {c |}{col 19}{res}{space 2}-.0005112{col 31}{space 2} .0001183{col 42}{space 1}   -4.32{col 51}{space 3}0.000{col 59}{space 4} -.000743{col 72}{space 3}-.0002795
{txt}{space 9}CNRyrst1 {c |}{col 19}{res}{space 2}  .957799{col 31}{space 2} .1237998{col 42}{space 1}    7.74{col 51}{space 3}0.000{col 59}{space 4} .7151558{col 72}{space 3} 1.200442
{txt}{space 8}CNRyrs2t1 {c |}{col 19}{res}{space 2}-.0459825{col 31}{space 2} .0107379{col 42}{space 1}   -4.28{col 51}{space 3}0.000{col 59}{space 4}-.0670283{col 72}{space 3}-.0249366
{txt}{space 8}CNRyrs3t1 {c |}{col 19}{res}{space 2}  .000609{col 31}{space 2} .0002122{col 42}{space 1}    2.87{col 51}{space 3}0.004{col 59}{space 4} .0001931{col 72}{space 3} .0010249
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.179263{col 31}{space 2} .3229553{col 42}{space 1}   -3.65{col 51}{space 3}0.000{col 59}{space 4}-1.812243{col 72}{space 3}-.5462818
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela10-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela10-x.doc"'"':modela10-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela10-x.txt""':seeout}

{com}. lincom smlmegip+highdemoc+smlmegiphighdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}smlmegip + highdemoc + smlmegiphighdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   civicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .8818382{col 26}{space 2} .3882777{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .1208279{col 67}{space 3} 1.642849
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. relogit ethnicnrt1 smlmegip highdemoc, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950
{txt}(5,464 missing values generated)


Corrected logit estimates                             Number of obs ={res}     9171

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2}-.3353565{col 26}{space 2} .4362203{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-1.190333{col 67}{space 3} .5196197
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2}-1.152797{col 26}{space 2} .5402761{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-2.211719{col 67}{space 3}-.0938754
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.182865{col 26}{space 2} .2786609{col 37}{space 1}   -7.83{col 46}{space 3}0.000{col 54}{space 4} -2.72903{col 67}{space 3}-1.636699
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela11-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela11-x.doc"'"':modela11-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela11-x.txt""':seeout}

{com}. 
. relogit ethnicnrt1 smlmegip highdemoc unrest1 majpow1 lnCapRatio alliance highdemoc2 demodyad2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950
{txt}(12,644 missing values generated)


Corrected logit estimates                             Number of obs ={res}     7771

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2}-.0610906{col 26}{space 2} .2708822{col 37}{space 1}   -0.23{col 46}{space 3}0.822{col 54}{space 4}-.5920101{col 67}{space 3} .4698288
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2} .2471671{col 26}{space 2} .4148719{col 37}{space 1}    0.60{col 46}{space 3}0.551{col 54}{space 4}-.5659669{col 67}{space 3} 1.060301
{txt}{space 5}unrest1 {c |}{col 14}{res}{space 2}-.0443421{col 26}{space 2} .0351071{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-.1131508{col 67}{space 3} .0244666
{txt}{space 5}majpow1 {c |}{col 14}{res}{space 2} .2171186{col 26}{space 2} .4442892{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.6536721{col 67}{space 3} 1.087909
{txt}{space 2}lnCapRatio {c |}{col 14}{res}{space 2} .2515196{col 26}{space 2} .1193196{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0176575{col 67}{space 3} .4853817
{txt}{space 4}alliance {c |}{col 14}{res}{space 2} .3128307{col 26}{space 2} .2654303{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.2074031{col 67}{space 3} .8330645
{txt}{space 2}highdemoc2 {c |}{col 14}{res}{space 2}  .122886{col 26}{space 2} .3875459{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.6366899{col 67}{space 3} .8824619
{txt}{space 3}demodyad2 {c |}{col 14}{res}{space 2}-.8585773{col 26}{space 2} .5215779{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4}-1.880851{col 67}{space 3} .1636965
{txt}{space 4}tradedep {c |}{col 14}{res}{space 2}-.4504972{col 26}{space 2}  .311427{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-1.060883{col 67}{space 3} .1598885
{txt}{space 1}NonENRyrst1 {c |}{col 14}{res}{space 2}-.9397363{col 26}{space 2} .1901214{col 37}{space 1}   -4.94{col 46}{space 3}0.000{col 54}{space 4}-1.312367{col 67}{space 3}-.5671052
{txt}NonENRyrs2t1 {c |}{col 14}{res}{space 2} .0423436{col 26}{space 2}  .013897{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .0151059{col 67}{space 3} .0695813
{txt}NonENRyrs3t1 {c |}{col 14}{res}{space 2}-.0005371{col 26}{space 2} .0002491{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-.0010253{col 67}{space 3}-.0000489
{txt}{space 4}ENRyrst1 {c |}{col 14}{res}{space 2} .6748781{col 26}{space 2} .1381714{col 37}{space 1}    4.88{col 46}{space 3}0.000{col 54}{space 4} .4040672{col 67}{space 3} .9456891
{txt}{space 3}ENRyrs2t1 {c |}{col 14}{res}{space 2}-.0294958{col 26}{space 2} .0094819{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4}  -.04808{col 67}{space 3}-.0109116
{txt}{space 3}ENRyrs3t1 {c |}{col 14}{res}{space 2} .0003671{col 26}{space 2} .0001574{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0000586{col 67}{space 3} .0006755
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5535603{col 26}{space 2} .3942624{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}  -1.3263{col 67}{space 3} .2191797
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela11-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela11-x.doc"'"':modela11-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela11-x.txt""':seeout}

{com}. 
. relogit ethnicnrt1 smlmegip highdemoc smlmegiphighdemoc, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950
{txt}(5,464 missing values generated)


Corrected logit estimates                             Number of obs ={res}     9171

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       ethnicnrt1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}smlmegip {c |}{col 19}{res}{space 2}-.2375383{col 31}{space 2} .4585448{col 42}{space 1}   -0.52{col 51}{space 3}0.604{col 59}{space 4} -1.13627{col 72}{space 3}  .661193
{txt}{space 8}highdemoc {c |}{col 19}{res}{space 2}-.9914295{col 31}{space 2} .5705687{col 42}{space 1}   -1.74{col 51}{space 3}0.082{col 59}{space 4}-2.109724{col 72}{space 3} .1268645
{txt}smlmegiphighdemoc {c |}{col 19}{res}{space 2}-1.865055{col 31}{space 2} 1.057815{col 42}{space 1}   -1.76{col 51}{space 3}0.078{col 59}{space 4}-3.938334{col 72}{space 3} .2082252
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -2.21184{col 31}{space 2} .2899554{col 42}{space 1}   -7.63{col 51}{space 3}0.000{col 59}{space 4}-2.780143{col 72}{space 3}-1.643538
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela11-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela11-x.doc"'"':modela11-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela11-x.txt""':seeout}

{com}. lincom smlmegip+highdemoc+smlmegiphighdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}smlmegip + highdemoc + smlmegiphighdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-3.094022{col 26}{space 2} 1.024778{col 37}{space 1}   -3.02{col 46}{space 3}0.003{col 54}{space 4} -5.10255{col 67}{space 3}-1.085495
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. relogit ethnicnrt1 smlmegip highdemoc smlmegiphighdemoc unrest1 majpow1 lnCapRatio alliance highdemoc2 demodyad2 tradedep NonENRyrst1 NonENRyrs2t1 NonENRyrs3t1 ENRyrst1 ENRyrs2t1 ENRyrs3t1, cluster(dyadid), if Contig==1 & tektarget_d1==1 & year>=1950
{txt}(12,644 missing values generated)


Corrected logit estimates                             Number of obs ={res}     7771

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       ethnicnrt1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}smlmegip {c |}{col 19}{res}{space 2}  .069612{col 31}{space 2} .2898371{col 42}{space 1}    0.24{col 51}{space 3}0.810{col 59}{space 4}-.4984583{col 72}{space 3} .6376823
{txt}{space 8}highdemoc {c |}{col 19}{res}{space 2} .4652217{col 31}{space 2} .4385309{col 42}{space 1}    1.06{col 51}{space 3}0.289{col 59}{space 4}-.3942831{col 72}{space 3} 1.324726
{txt}smlmegiphighdemoc {c |}{col 19}{res}{space 2} -1.43459{col 31}{space 2} .6401246{col 42}{space 1}   -2.24{col 51}{space 3}0.025{col 59}{space 4}-2.689211{col 72}{space 3}-.1799687
{txt}{space 10}unrest1 {c |}{col 19}{res}{space 2}-.0411889{col 31}{space 2} .0372279{col 42}{space 1}   -1.11{col 51}{space 3}0.269{col 59}{space 4}-.1141542{col 72}{space 3} .0317764
{txt}{space 10}majpow1 {c |}{col 19}{res}{space 2} .1966702{col 31}{space 2} .4509593{col 42}{space 1}    0.44{col 51}{space 3}0.663{col 59}{space 4}-.6871939{col 72}{space 3} 1.080534
{txt}{space 7}lnCapRatio {c |}{col 19}{res}{space 2} .2297893{col 31}{space 2} .1175628{col 42}{space 1}    1.95{col 51}{space 3}0.051{col 59}{space 4}-.0006295{col 72}{space 3}  .460208
{txt}{space 9}alliance {c |}{col 19}{res}{space 2} .2787287{col 31}{space 2} .2649867{col 42}{space 1}    1.05{col 51}{space 3}0.293{col 59}{space 4}-.2406357{col 72}{space 3}  .798093
{txt}{space 7}highdemoc2 {c |}{col 19}{res}{space 2} .1311808{col 31}{space 2} .3909239{col 42}{space 1}    0.34{col 51}{space 3}0.737{col 59}{space 4} -.635016{col 72}{space 3} .8973775
{txt}{space 8}demodyad2 {c |}{col 19}{res}{space 2}-1.006536{col 31}{space 2} .5164433{col 42}{space 1}   -1.95{col 51}{space 3}0.051{col 59}{space 4}-2.018746{col 72}{space 3} .0056742
{txt}{space 9}tradedep {c |}{col 19}{res}{space 2}-.4468569{col 31}{space 2} .3080053{col 42}{space 1}   -1.45{col 51}{space 3}0.147{col 59}{space 4}-1.050536{col 72}{space 3} .1568224
{txt}{space 6}NonENRyrst1 {c |}{col 19}{res}{space 2}-.9332435{col 31}{space 2} .1893391{col 42}{space 1}   -4.93{col 51}{space 3}0.000{col 59}{space 4}-1.304341{col 72}{space 3}-.5621457
{txt}{space 5}NonENRyrs2t1 {c |}{col 19}{res}{space 2} .0421091{col 31}{space 2} .0138964{col 42}{space 1}    3.03{col 51}{space 3}0.002{col 59}{space 4} .0148727{col 72}{space 3} .0693454
{txt}{space 5}NonENRyrs3t1 {c |}{col 19}{res}{space 2}-.0005348{col 31}{space 2} .0002494{col 42}{space 1}   -2.14{col 51}{space 3}0.032{col 59}{space 4}-.0010237{col 72}{space 3} -.000046
{txt}{space 9}ENRyrst1 {c |}{col 19}{res}{space 2} .6735345{col 31}{space 2} .1377272{col 42}{space 1}    4.89{col 51}{space 3}0.000{col 59}{space 4} .4035941{col 72}{space 3}  .943475
{txt}{space 8}ENRyrs2t1 {c |}{col 19}{res}{space 2}-.0293395{col 31}{space 2} .0094227{col 42}{space 1}   -3.11{col 51}{space 3}0.002{col 59}{space 4}-.0478076{col 72}{space 3}-.0108714
{txt}{space 8}ENRyrs3t1 {c |}{col 19}{res}{space 2} .0003643{col 31}{space 2} .0001562{col 42}{space 1}    2.33{col 51}{space 3}0.020{col 59}{space 4} .0000582{col 72}{space 3} .0006704
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.6233125{col 31}{space 2} .3932793{col 42}{space 1}   -1.58{col 51}{space 3}0.113{col 59}{space 4}-1.394126{col 72}{space 3} .1475008
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela11-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela11-x.doc"'"':modela11-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela11-x.txt""':seeout}

{com}. lincom smlmegip+highdemoc+smlmegiphighdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}smlmegip + highdemoc + smlmegiphighdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ethnicnrt1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.8997561{col 26}{space 2} .6298393{col 37}{space 1}   -1.43{col 46}{space 3}0.153{col 54}{space 4}-2.134218{col 67}{space 3} .3347062
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. /* Indonesia coded as a civic-nationalist in the Dutch-Indonesian rivalry */
. probit civicnr2t1 smlmegip highdemoc, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5885.9139}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -5800.87}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5799.7376}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5799.7374}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    41,030
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      7.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0198
{txt}Log pseudolikelihood = {res}-5799.7374{txt}{col 49}Pseudo R2{col 67}= {res}    0.0146

{txt}{ralign 78:(Std. Err. adjusted for {res:1,069} clusters in dyadid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  civicnr2t1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}smlmegip {c |}{col 14}{res}{space 2} .3366276{col 26}{space 2} .1467369{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0490286{col 67}{space 3} .6242266
{txt}{space 3}highdemoc {c |}{col 14}{res}{space 2} .0173863{col 26}{space 2} .1475662{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.2718381{col 67}{space 3} .3066108
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.965383{col 26}{space 2} .1098456{col 37}{space 1}  -17.89{col 46}{space 3}0.000{col 54}{space 4}-2.180677{col 67}{space 3} -1.75009
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela12-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela12-x.doc"'"':modela12-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela12-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    41,030{col 27}-5885.914{col 38}-5799.737{col 49}     3{col 58} 11605.47{col 69} 11631.34
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnr2t1 smlmegip highdemoc unrest1 majpow1 lnCapRatio alliance i.highdemoc##i.highdemoc2 tradedep NonCNR2yrst1 NonCNR2yrs2t1 NonCNR2yrs3t1 CNR2yrst1 CNR2yrs2t1 CNR2yrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{txt}note: 1.highdemoc omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-795.99642}  
Iteration 2:{space 3}log pseudolikelihood = {res:-736.55836}  
Iteration 3:{space 3}log pseudolikelihood = {res: -666.3194}  
Iteration 4:{space 3}log pseudolikelihood = {res:-663.62883}  
Iteration 5:{space 3}log pseudolikelihood = {res:-663.49905}  
Iteration 6:{space 3}log pseudolikelihood = {res:-663.49865}  
Iteration 7:{space 3}log pseudolikelihood = {res:-663.49865}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}   1981.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-663.49865{txt}{col 49}Pseudo R2{col 67}= {res}    0.8641

{txt}{ralign 86:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          civicnr2t1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}smlmegip {c |}{col 22}{res}{space 2} .1167828{col 34}{space 2} .0973721{col 45}{space 1}    1.20{col 54}{space 3}0.230{col 62}{space 4}-.0740631{col 75}{space 3} .3076287
{txt}{space 11}highdemoc {c |}{col 22}{res}{space 2} .0938852{col 34}{space 2} .1333349{col 45}{space 1}    0.70{col 54}{space 3}0.481{col 62}{space 4}-.1674464{col 75}{space 3} .3552167
{txt}{space 13}unrest1 {c |}{col 22}{res}{space 2} .0072657{col 34}{space 2} .0070133{col 45}{space 1}    1.04{col 54}{space 3}0.300{col 62}{space 4}  -.00648{col 75}{space 3} .0210115
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2}  .135375{col 34}{space 2} .1797333{col 45}{space 1}    0.75{col 54}{space 3}0.451{col 62}{space 4}-.2168959{col 75}{space 3} .4876458
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1003412{col 34}{space 2} .0413717{col 45}{space 1}    2.43{col 54}{space 3}0.015{col 62}{space 4} .0192543{col 75}{space 3} .1814282
{txt}{space 12}alliance {c |}{col 22}{res}{space 2}  .094897{col 34}{space 2}  .089792{col 45}{space 1}    1.06{col 54}{space 3}0.291{col 62}{space 4}-.0810922{col 75}{space 3} .2708862
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0644375{col 34}{space 2} .1367052{col 45}{space 1}    0.47{col 54}{space 3}0.637{col 62}{space 4}-.2034998{col 75}{space 3} .3323747
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.5323956{col 34}{space 2} .2245553{col 45}{space 1}   -2.37{col 54}{space 3}0.018{col 62}{space 4}-.9725158{col 75}{space 3}-.0922753
{txt}{space 20} {c |}
{space 12}tradedep {c |}{col 22}{res}{space 2} .0610383{col 34}{space 2} .0235155{col 45}{space 1}    2.60{col 54}{space 3}0.009{col 62}{space 4} .0149488{col 75}{space 3} .1071278
{txt}{space 8}NonCNR2yrst1 {c |}{col 22}{res}{space 2}-.3194539{col 34}{space 2} .0320666{col 45}{space 1}   -9.96{col 54}{space 3}0.000{col 62}{space 4}-.3823032{col 75}{space 3}-.2566045
{txt}{space 7}NonCNR2yrs2t1 {c |}{col 22}{res}{space 2} .0131691{col 34}{space 2} .0020807{col 45}{space 1}    6.33{col 54}{space 3}0.000{col 62}{space 4}  .009091{col 75}{space 3} .0172473
{txt}{space 7}NonCNR2yrs3t1 {c |}{col 22}{res}{space 2}-.0001578{col 34}{space 2} .0000348{col 45}{space 1}   -4.54{col 54}{space 3}0.000{col 62}{space 4} -.000226{col 75}{space 3}-.0000896
{txt}{space 11}CNR2yrst1 {c |}{col 22}{res}{space 2} .5441408{col 34}{space 2} .0394974{col 45}{space 1}   13.78{col 54}{space 3}0.000{col 62}{space 4} .4667274{col 75}{space 3} .6215543
{txt}{space 10}CNR2yrs2t1 {c |}{col 22}{res}{space 2}-.0246563{col 34}{space 2} .0030839{col 45}{space 1}   -8.00{col 54}{space 3}0.000{col 62}{space 4}-.0307006{col 75}{space 3}-.0186119
{txt}{space 10}CNR2yrs3t1 {c |}{col 22}{res}{space 2} .0003112{col 34}{space 2} .0000567{col 45}{space 1}    5.49{col 54}{space 3}0.000{col 62}{space 4}    .0002{col 75}{space 3} .0004224
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.061137{col 34}{space 2} .1443021{col 45}{space 1}   -7.35{col 54}{space 3}0.000{col 62}{space 4}-1.343964{col 75}{space 3}-.7783097
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1302 failures and 21 successes completely determined.{p_end}

{com}. outreg2 using modela12-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela12-x.doc"'"':modela12-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela12-x.txt""':seeout}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}-663.4986{col 49}    16{col 58} 1358.997{col 69}  1494.39
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnr2t1 i.smlmegip##i.highdemoc, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5885.9139}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5742.3859}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5733.5487}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -5733.53}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -5733.53}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    41,030
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     11.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0083
{txt}Log pseudolikelihood = {res}  -5733.53{txt}{col 49}Pseudo R2{col 67}= {res}    0.0259

{txt}{ralign 84:(Std. Err. adjusted for {res:1,069} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        civicnr2t1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.smlmegip {c |}{col 20}{res}{space 2} .1326148{col 32}{space 2} .1456818{col 43}{space 1}    0.91{col 52}{space 3}0.363{col 60}{space 4}-.1529162{col 73}{space 3} .4181458
{txt}{space 7}1.highdemoc {c |}{col 20}{res}{space 2} -.187104{col 32}{space 2} .1326051{col 43}{space 1}   -1.41{col 52}{space 3}0.158{col 60}{space 4}-.4470053{col 73}{space 3} .0727973
{txt}{space 18} {c |}
smlmegip#highdemoc {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} .6203753{col 32}{space 2} .2737816{col 43}{space 1}    2.27{col 52}{space 3}0.023{col 60}{space 4} .0837732{col 73}{space 3} 1.156977
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.875299{col 32}{space 2} .0961387{col 43}{space 1}  -19.51{col 52}{space 3}0.000{col 60}{space 4}-2.063727{col 73}{space 3} -1.68687
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using modela12-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela12-x.doc"'"':modela12-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela12-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnr2t1]1.smlmegip + [civicnr2t1]1.highdemoc + [civicnr2t1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  civicnr2t1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .565886{col 26}{space 2} .2534025{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0692262{col 67}{space 3} 1.062546
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    41,030{col 27}-5885.914{col 38} -5733.53{col 49}     4{col 58} 11475.06{col 69} 11509.55
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. probit civicnr2t1 i.smlmegip##i.highdemoc unrest1 majpow1 lnCapRatio i.highdemoc##i.highdemoc2 alliance tradedep NonCNR2yrst1 NonCNR2yrs2t1 NonCNR2yrs3t1 CNR2yrst1 CNR2yrs2t1 CNR2yrs3t1, cluster(dyadid), if Contig==1 & year>=1950

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4880.502}  
Iteration 1:{space 3}log pseudolikelihood = {res:-794.92428}  
Iteration 2:{space 3}log pseudolikelihood = {res:-732.06632}  
Iteration 3:{space 3}log pseudolikelihood = {res:-663.41764}  
Iteration 4:{space 3}log pseudolikelihood = {res:-660.65943}  
Iteration 5:{space 3}log pseudolikelihood = {res:-660.52318}  
Iteration 6:{space 3}log pseudolikelihood = {res:-660.52277}  
Iteration 7:{space 3}log pseudolikelihood = {res:-660.52277}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    34,962
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   1982.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-660.52277{txt}{col 49}Pseudo R2{col 67}= {res}    0.8647

{txt}{ralign 86:(Std. Err. adjusted for {res:967} clusters in dyadid)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          civicnr2t1{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.smlmegip {c |}{col 22}{res}{space 2} .0215505{col 34}{space 2} .1076076{col 45}{space 1}    0.20{col 54}{space 3}0.841{col 62}{space 4}-.1893564{col 75}{space 3} .2324575
{txt}{space 9}1.highdemoc {c |}{col 22}{res}{space 2}-.0601124{col 34}{space 2} .1578793{col 45}{space 1}   -0.38{col 54}{space 3}0.703{col 62}{space 4}-.3695502{col 75}{space 3} .2493254
{txt}{space 20} {c |}
{space 2}smlmegip#highdemoc {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2} .4561446{col 34}{space 2}  .206608{col 45}{space 1}    2.21{col 54}{space 3}0.027{col 62}{space 4} .0512005{col 75}{space 3} .8610888
{txt}{space 20} {c |}
{space 13}unrest1 {c |}{col 22}{res}{space 2}  .002265{col 34}{space 2} .0079695{col 45}{space 1}    0.28{col 54}{space 3}0.776{col 62}{space 4} -.013355{col 75}{space 3}  .017885
{txt}{space 13}majpow1 {c |}{col 22}{res}{space 2} .1484077{col 34}{space 2} .1799964{col 45}{space 1}    0.82{col 54}{space 3}0.410{col 62}{space 4}-.2043788{col 75}{space 3} .5011942
{txt}{space 10}lnCapRatio {c |}{col 22}{res}{space 2} .1007282{col 34}{space 2} .0430348{col 45}{space 1}    2.34{col 54}{space 3}0.019{col 62}{space 4} .0163814{col 75}{space 3} .1850749
{txt}{space 8}1.highdemoc2 {c |}{col 22}{res}{space 2} .0502196{col 34}{space 2} .1355085{col 45}{space 1}    0.37{col 54}{space 3}0.711{col 62}{space 4}-.2153721{col 75}{space 3} .3158114
{txt}{space 20} {c |}
highdemoc#highdemoc2 {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2}-.4327521{col 34}{space 2} .2316263{col 45}{space 1}   -1.87{col 54}{space 3}0.062{col 62}{space 4}-.8867313{col 75}{space 3} .0212271
{txt}{space 20} {c |}
{space 12}alliance {c |}{col 22}{res}{space 2} .0871493{col 34}{space 2} .0908383{col 45}{space 1}    0.96{col 54}{space 3}0.337{col 62}{space 4}-.0908906{col 75}{space 3} .2651892
{txt}{space 12}tradedep {c |}{col 22}{res}{space 2}  .060609{col 34}{space 2} .0225428{col 45}{space 1}    2.69{col 54}{space 3}0.007{col 62}{space 4} .0164259{col 75}{space 3} .1047921
{txt}{space 8}NonCNR2yrst1 {c |}{col 22}{res}{space 2}-.3194074{col 34}{space 2} .0323339{col 45}{space 1}   -9.88{col 54}{space 3}0.000{col 62}{space 4}-.3827806{col 75}{space 3}-.2560342
{txt}{space 7}NonCNR2yrs2t1 {c |}{col 22}{res}{space 2} .0131616{col 34}{space 2} .0020979{col 45}{space 1}    6.27{col 54}{space 3}0.000{col 62}{space 4} .0090498{col 75}{space 3} .0172733
{txt}{space 7}NonCNR2yrs3t1 {c |}{col 22}{res}{space 2}-.0001578{col 34}{space 2} .0000351{col 45}{space 1}   -4.50{col 54}{space 3}0.000{col 62}{space 4}-.0002265{col 75}{space 3} -.000089
{txt}{space 11}CNR2yrst1 {c |}{col 22}{res}{space 2} .5455503{col 34}{space 2} .0399733{col 45}{space 1}   13.65{col 54}{space 3}0.000{col 62}{space 4} .4672041{col 75}{space 3} .6238966
{txt}{space 10}CNR2yrs2t1 {c |}{col 22}{res}{space 2}-.0247239{col 34}{space 2} .0031303{col 45}{space 1}   -7.90{col 54}{space 3}0.000{col 62}{space 4} -.030859{col 75}{space 3}-.0185887
{txt}{space 10}CNR2yrs3t1 {c |}{col 22}{res}{space 2} .0003119{col 34}{space 2} .0000575{col 45}{space 1}    5.43{col 54}{space 3}0.000{col 62}{space 4} .0001993{col 75}{space 3} .0004245
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.007781{col 34}{space 2}  .146503{col 45}{space 1}   -6.88{col 54}{space 3}0.000{col 62}{space 4}-1.294921{col 75}{space 3}-.7206401
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1306 failures and 22 successes completely determined.{p_end}

{com}. outreg2 using modela12-x.doc, alpha(0.01,0.05,0.1) dec(2)
{txt}{stata `"shellout using `"modela12-x.doc"'"':modela12-x.doc}
{browse `"C:\Stata"' :dir}{com} : {txt}{stata `"seeout using "modela12-x.txt""':seeout}

{com}. lincom 1.smlmegip+1.highdemoc+1.smlmegip#1.highdemoc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[civicnr2t1]1.smlmegip + [civicnr2t1]1.highdemoc + [civicnr2t1]1.smlmegip#1.highdemoc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  civicnr2t1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4175828{col 26}{space 2} .1751056{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4}  .074382{col 67}{space 3} .7607835
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates stats

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}    34,962{col 27}-4880.502{col 38}-660.5228{col 49}    17{col 58} 1355.046{col 69}   1498.9
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Stata\log_tables.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}14 Jul 2018, 19:26:13
{txt}{.-}
{smcl}
{txt}{sf}{ul off}